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References
350
REFERENCES
Abraham, A. and Ikenberry, D.L. (1994). “The Individual Investor and the Weekend
Effect”, Journal of Financial and Quantitative Analysis, 29(02), 263-277.
Agrawal, A. and Tandon, K. (1994). “Anomalies or Illusions? Evidence from Stock
Markets in Eighteen Countries”, Journal of International Money and Finance, 13,
83-106.
Ait-Sahalia, Y., Mykland, P.A. and Zhang, L. (2003). “How often to Sample a
Continuous-time Process in the Presence of Market Microstructure Noise”,
Working Paper Series, University of Princeton.
Akaike, H. (1973). “Information Theory and an Extension of the Maximum Likelihood
Principle”, Second International Symposium on Information Theory, 267–281.
Akgiray, V. (1989). “Conditional Heteroscedasticity in Time Series of Stock Returns:
Evidence and Forecsats”, Journal of Business, 62, 55-80.
Alexander, C.O. and Leigh, C.T. (1997). “On the Covariance Matrices used in Value
at Risk Models”, The Journal of Derivatives, 4(3), 50-62.
Amin, K.I. (1991). “On the Computation of Continuous Time Option Prices using
Discrete Approximations”, Journal of Financial and Quantitative Analysis, 26(4),
477-495.
Amin, K., and V. Ng. “ARCH Processes and Option Valuation,” Working Paper Series,
University of Michigan.
Amin, K., and V. Ng., (1993). “Option Valuation with Systematic Stochastic
Volatility,” Journal of Finance, 48, pg 881-910.
Andersen, L., Andreasen, J. and Brotherton-Ratcliffe, R. (1998). “The Passport
Option”, Journal of Computational Finance, 1(3), 15-36.
References
351
Andersen, T.G. (1994). “Stochastic Autoregressive Volatility: A Framework for
Volatility Modelling”, Mathematical Finance, 4, 75-102.
Andersen, T.G., Bollerslev, T. and Diebold, F.X. (1997). “Intraday Periodicity and
Volatility Persistence in Financial Markets”, Journal of Empirical Finance, 4,
115-158.
Andersen, T.G., Bollerslev, T. and Diebold, F.X. (1998a). “Deutsche Mark-dollar
Volatility: Intraday Activity Patterns, Macroeconomic Announcements, and
Longer Run Dependencies”, Journal of Finance, 53, 219-265.
Andersen, T.G., Bollerslev, T. and Diebold, F.X. (1998b). “Answering the Sceptics:
Yes, Standard Volatility Models do Provide Accurate Forecasts”, International
Economic Review, 39, 885-905.
Andersen, T., Bollerslev, T., Diebold, F.X. and Labys, P. (1999). “The Distribution of
Exchange Rate Volatility”, National Bureau of Economic Research, No. w6961.
Andersen, T.G., Bollerslev, T. Diebold, F.X. and Labys, P. (2000). “Exchange Rate
Returns Standardised by Realized Volatility are (nearly) Gaussian,” Working
Paper Series, NBER, 7488.
Andersen, T.G., Bollerslev, T., Diebold, F.X. and Ebens, H. (2001a). “The Distribution
of Realized Exchange Rate Volatility”, Journal of American Statistical
Association, 96, 42-55.
Andersen, T.G., Bollerslev, T., Diebold, F.X. and Ebens H. (2001b), “The Distribution
of Stock Return Volatility,” Journal of Financial Economics, 61(1), 43-76.
Andersen, T.G., Bollerslev, T., Diebold, F.X. and Labys, P. (2001a). “The Distribution
of Exchange Rate Volatility”, Journal of the American Statistical Association,
96 (453), 42-55.
Andersen, T.G., Bollerslev, T., Diebold, F.X. and Labys, P. (2001b). The Distribution
of Realized Exchange Rate Volatility, Journal of the American Statistical
Association, 96(453), 42–57.
Andersen, T.G., Bollerslev, T., Diebold, F.X. and Labys, P. (2003). “Modelling and
Forecasting Realized Volatility”, Econometrica, 71(2), 529-626.
References
352
Andersena, T.G., Bollerslevb, T., Christoffersenc, P.F. and Dieboldd, F.X. (2005).
Volatility and Correlation Forecasting. Handbook of Economic Forecasting edited
by Graham Elliott, Clive W.J. Granger, and Allan Timmermann, Amsterdam:
North Holland.
Anderson, G. (1995). “Variance Estimation in the Presence of Drift and Non-trading”,
Working Paper Series, School of Economics and Commercial Law, University of
Goteborg.
Ariel, R.A. (1987). “A Monthly Effect in Stock Returns”, Journal of Financial
Economics, 18, 161-174.
Arumugam, S. (1998-99). “Day of the Week Effects in Stock Returns: An Empirical
Evidence from Indian Equity Market”, Prajnan, 27(2), 171-190.
Bachelier, L. (1900). Theorie de la Speculation, Ph.D. Dissertation, 1’Ecole Normale
Superieure. English translation in Cootner, P., ed. 1964. The Random Character
of Stock Market Prices. Cambridge MA: MIT Press.
Baily, W. and Stulz, E. (1989). “The Pricing of Stock Index Options in General
Equilibrium Model”, Journal of Financial and Quantitative Analysis, 24, 1-12.
Bakshi, G., Cao, C. and Chen, Z. (1997). “Empirical Performance of Alternative Option
Pricing Models”, Journal of Finance.
Ball, C.A. and Roma, A. (1994). “Stochastic Volatility Option Pricing”, Journal of
Financial and Quantitative Analysis, 29(4), 589-607.
Barndorff-Nielsen, O.E. and Shephard, N. (2003). “Power and Bipower Variation with
Stochastic Volatility and Jumps”, Working Paper Series, Oxford University.
Barone-Adesi Giovanni and Whaley, E. Robert (1986). “The Valuation of American
Call Options and the Expected Ex-dividend Stock Price Decline”, Journal of
Financial Economics, 17, 91-111.
Barone-Adesi Giovanni and Whaley, E. Robert (1987). “Efficient Analytic
Approximation of American Option Values,” Journal of Finance, XLII(2).
References
353
Barraquand, J. and Martineau, D. (1995). “Numerical Valuation of High Dimensional
Multivariate American Securities”, Journal of Financial and Quantitative
Analysis, 30(03), 383-405.
Bartter, B.J. and Rendleman Jr, R.J. (1979). “Fee-based Pricing of Fixed Rate Bank
Loan Commitments”, Financial Management, 13-20.
Bates, D.S. (1991). “The Crash of 87: Was it expected? The Evidence from Option
Markets”, Journal of Finance,46, 1009-1044.
Bates, D.S. (1996a). “Jumps and Stochastic Volatility: Exchange Rate Processes implicit
in PHLX Deutschmark Option,” Review of Financial Studies, 9(1), 69-107.
Bates, D.S. (1996b). “Testing Option Pricing Models”, Maddala and Rao, 567-611.
Bates, J.M. and Granger, C.W.J. (1969). “The Combination of Forecasts”, Operations
Research Quarterly, 20, 451-468.
Beber, A. (2001). “Determinants of the Implied Volatility Function on the Italian
Stock Market”, Working Paper Series, Sant' Anna School of Advanced
Studies, Italy.
Becker, R. and Clements, A.E. (2008). “Are Combination Forecasts of S&P 500
Volatility Statistically Superior?” International Journal of Forecasting, 24(1),
122-133.
Beckers, S. (1980). “The Constant Elasticity of Variance Model and its Implications for
Option Pricing”, Journal of Finance, 35, 661-673.
Beckers, S. (1981). “Standard Deviations Implied in Option Prices as Predictors of Future
Stock Price Variability”, Journal of Banking and Finance, 5(3), 363-381.
Beckers, S. (1983). “Variances of Security Prices based on High, Low and Closing
Prices”, Journal of Business, 53, 97-112.
Bera, A. K., Higgins, M. L. and Lee, S. (1992). “Interaction between Autocorrelation
and Conditional Heteroscedasticity: A Random-coefficient Approach”, Journal of
Business & Economic Statistics, 10(2), 133-142.
References
354
Berestycki, H., Busca, J. and Florent, I. (2002). “Asymptotics and Calibration of Local
Volatility Models”, Quantitative Finance, 2(1), 61-69.
Berkowitz, J. (2002). “Frequent Recalibration of Option Pricing Models”, Manuscript,
University of Houston.
BhanuMurthy, K.V. (2011). “State of Environment in South Asia” in R. Jha (Ed.)
Handbook of South Asian Economics, Routledge, London.
Bharadia, M.A.J., Christofides, N. and Salkin, G.R. (1996). “A Quadratic Method for
the Calculation of Implied Volatility using the Garman-Kohlhagen Model”,
Financial Analysts Journal, 61-64.
Black, F. (1975). “Fact and Fantasyin the Use of Options”, Financial Analysts Journal,
31, 35-72.
Black, F. (1976). “Studies in Stock Price Volatility Changes”, Proceedings of the 1976
Business Meeting of the Business and Economics Statistics Section, American
Statistical Association, 177–181.
Black, F. and Scholes, M. (1972), “The Valuation of Option Contracts and a Test of
Market Efficiency”, Journal of Finance, 27, 399-417.
Black, F. and Scholes, M. (1973). “The Pricing of Options and Corporate Liabilities”,
Journal of Political Economy, 81, 637–654.
Blanchard, O.J. and Watson, W.W. (1982). “Bubbles, Rational Expectations and
Speculative Markets,” in: Wachtel P. (eds), Crisis in Economic and Financial
Structure, Bubbles, Burst and Shocks, Lexington Books, Lexington.
Bluhm, H. H. W. and Yu, J. (2001). “Forecasting Volatility: Evidence from the German
Stock Market”, International Conference on Modelling and Forecasting
Financial Volatility.
Bluhm, H.H.W and Yu, J. (2000). “Forecasting Volatility: Evidence from the German
Stock Market”. Working Paper Series, U. Auckland.
References
355
Bodla, B.S. and Jindal K. (2006). “Seasonal Anomalies in Stock Returns: Evidence
from India and the US”, Decision, 33(1), 46-55.
Bodla, B.S. and Kiran, J. (2006). “Seasonal Anomalies in Stock Returns: Evidence
from India and the US”, Decision, 33(1).
Bollen, B. and Inder, B. (2002). “Estimating Daily Volatility in Financial Markets
Utilizing Intraday Data”, Journal of Empirical Finance, 9, 551-562.
Bollerslev, T. (1986). “Generalised Autoregressive Conditional Heteroskedasticity”,
Journal of Econometrics, 31, 307-327.
Bollerslev, T. (1987). A Conditional Heteroscedastic Time Series Model for
Speculative Prices and Rates of Return, Review of Economics and Statistics, 69,
542–547.
Bollerslev, T. and Mikkelsen, H.O.A. (1996). “Modelling and Pricing Long-Memory in
Stock Market Volatility”, Journal of Econometrics, 73(1), 151–184.
Bollerslev, T., Engle, R.F. and Wooldridge, J.M. (1988). “A Capital Asset Pricing Model
with Time-Varying Covariances”, The Journal of Political Economy, 116-131.
Boness, A.J. (1964), “Elements of a Theory of Stock-Option Values,” J. P. E. 72, 163-75.
Boudoukh, J., Richardson, M. and Whitelaw, R.F. (1997). “Investigation of a Class of
Volatility Estimators”, The Journal of Derivatives, 4(3), 63-71.
Bouman, S. and Jacobsen, B. (2002). “The Halloween Indicator, Sell in May and Go
Away: Another Puzzle”, The American Economic Review, 92(5), 1618-1635.
Boyle, P., Broadie, M. and Glasserman, P. (1997). “Monte Carlo Methods for Security
Pricing”, Journal of Economic Dynamics and Control, 21(8), 1267-1321.
Boyle, P.P. (1988). “A Lattice Framework for Option Pricing with Two State
Variables”, Journal of Financial and Quantitative Analysis, 23(1), 1-12.
Boyle, P.P., “Options: A Monte Carlo Approach,” Journal of Financial Economics,
4(3), 323-38.
References
356
Brailsford, T.J. and Faff, R.W. (1996). “An Evaluation of Volatility Forecasting
Technique”, Journal of Banking and Finance, 20, 419-38.
Brennan, M. (1979). “The Pricing of Contingemt Claims in Discrete Time Models”,
Journal of Finance, 34, 53-68.
Brennan, M.J. and Schwartz, E.S. (1978). “Finite Difference Methods and Jump
Processes Arising in the Pricing of Contingent Claims: A Synthesis”, Journal
of Financial and Quantitative Analysis, 13(3), 461-474.
Brenner, M. and Subrahmanyam, M.G. (1988). “A Simple Formula to Compute the
Implied Standard Deviation”, Financial Analysts Journal, 44(5), 80-83.
Broadie, M. and Glasserman, P. (1997). “Pricing American-style Securities using
Simulation”, Journal of Economic Dynamics and Control, 21(8), 1323-1352.
Broca, D. (1992). “Day of the Week Patterns in the Indian Stock Market”, Decision,
19(2), 57-64.
Brockwell, P., Chadraa E. and Lindner A. (2006), “Continuous-Time GARCH
Processes,” Annals of Applied Probability, 16, 790-826.
Brooks, C. and Persand, G. (2003). “Volatility Forecasting for Risk Management”,
Journal of Forecasting, V22, 1-22.
Brown, P., Keim, D., Kleidon, A. and Marsh, T. (1983), “Stock Return Seasonalities
and Tax Loss Selling Hypothesis-Analysis of Arguments and Australian
Evidence”, Journal of Financial Economics, 12, 105-127.
Bunn, D.W. (1975). “A Bayesian Approach to the Linear Combination of Forecasts”,
Operational Research Quarterly, 26, 325-329.
Bunn, D.W. (1977). “A Comparative Evaluation of the Outperformance and
Minimum Variance Procedures for Linear Syntheses of Forecasts”,
Operational Research Quarterly, 28, 653-660.
Cai, J. (1994). “A Markov Model of Switching Regime ARCH”, Journal of Business
and Economic Statistics, 12, 309-316.
References
357
Campbell, J.Y., Lo, A.W. and Mackinlay, A.C. (1997). The Econometrics of Financial
Markets, Princeton: Princeton University Press, 48–55.
Canina, L. and Figlewski, S. (1993). “The Information Content of Implied Volatility”,
The Review of Financial Studies, 6, 659-681.
Cao, C.Q. and Ruey S.T. (1992). “Nonlinear Time-Series Analysis of Stock
Volatilities”, Journal of Applied Econometrics, l supp., 165-85.
Caporin, M. and McAleer M. (2006), “Dynamic Asymmetric GARCH”, Journal of
Financial Econometrics, 4, 385-412.
Carr, P. (1998). “Randomization and the American Put”, Review of Financial Studies,
11(3), 597-626.
Carr, P. and Wu, L. (2003). “The Finite Moment Log Stable Process and Option
Pricing”, Journal of Finance, 58(2), 753-777.
Carr, P. and Wu, L. (2004). “Time-changed Lévy Processes and Option Pricing”,
Journal of Financial Economics, 71(1), 113-141.
Carr, P., Hlyette, G., Dilip M. and Marc Y. (2002), “The Fine Structure of Asset
Returns: An Empirical Investigation”, Journal of Business, 75(2) 305-332.
Carriere, J.F. (1996). “Valuation of the Early-Exercise Price for Options using
Simulations and Nonparametric Regression”, Insurance: Mathematics and
Economics, 19(1), 19-30.
Chambers, D.R. and Nawalkha, S.K. (2001). “An Improved Approach to Computing
Implied Volatility”, Financial Review, 36(3), 89-100.
Chance, D.M. (1986). “Empirical Tests of the Pricing of Index Call Options”,
Advances in Futures and Options Research, 1(Part A), 141-166.
Chargoy-Corona, J. and Ibarra-Valdez, C. (2006). “A Note on Black–Scholes Implied
Volatility”, Physica A: Statistical Mechanics and its Applications, 370(2), 681-688.
Chaudhary S.K. (1991). “Seasonality in Share Returns: Preliminary Evidence of the
Day of the Week Effect”, Chartered Accountant, 407-409.
References
358
Chen, H. and Singal, V. (2003). “A December Effect with Tax-Gain Selling”,
Available at SSRN 429847.
Chesney, M. and Scott, L.O. (1989). “Pricing Eueopean Currency Options: A
Comparison of the Modified Black-Scholes Model and a Random Variance
Model,” Journal of Financial and Quantitative Analsis, 24, 267-284.
Chiras, D. and Manaster, S. (1978). “The Information Content of Option Prices and a
Test of Market Efficiency”, Journal of Financial Economics, 6, 213–234.
Choudhary, K. and Choudhary, S. (2008). “Day-of-the-Week Effect: Further
Empirical Evidence”, Asia-Pacific Business Review, 4(3), 67-74.
Christensen, B. and Prabhala, N. (1998). “The Relationship between Implied and
Realized Volatility”, Journal of Financial Economics, 50.
Christodoulakis, G.A. and Satchell, S.E. (2002). “Correlated ARCH (CorrARCH):
Modeling Time-Varying Conditional Correlation between Financial Asset
Returns,” European Journal of Operational Research, 139, 351-370.
Christoffersen, P. and Jacobs, K. (2001). “The Importance of the Loss Function in
Option Valuation”, Manuscript, McGill University and CIRANO.
Christoffersen, P. and Jacobs, K. (2002). “Which Volatility Model for Option
Valuation?,” Manuscript, McGill University and CIRANO.
Christophe, S., Ferri, M. and Angel J. (2009). “Short Selling and the Weekend Effect
in Nasdaq Stock Returns”, Financial Review, 44, 31-57.
Churchill, R.V. (1963), “Fourier Series and Boundary Value Problems”, 2nd ed. New
York: McGraw-Hill.
Clemen, R.T. (1989). “Combining Forecasts: A Review and Annotated Bibliography”,
International Journal of Forecasting, 5, 559-583.
Comte, F., Coutin, F. and Renault, E. (2003). “Affine Fractional Stochastic Volatility
Models”, Working Paper Series. Université de Montréal.
References
359
Connolly, R.A. (1989). “An Examination of the Robustness of the Weekend Effect”,
Journal of Financial and Quantitative Analysis, 24, 133-169.
Connolly, R.A. (1991). “A Posterior Odds Analysis of the Weekend Effect”, Journal
of Econometrics, 49: 51-104.
Corrado, C.J. and Miller Jr, T.W. (1996). “Efficient Option‐implied Volatility
Estimators”, Journal of Futures Markets, 16(3), 247-272.
Corrado, C.J. and Miller, T.W. (1996). “A Note on a Simple, Accurate Formula to
Compute Implied Standard Deviations”, Journal of Banking and Finance,
20(3), 595-603.
Corrado, J.C. and Su Tie (1997). “Implied Volatility Skews and Stock Index Skewness
and Kurtosis implied by S&P500 Index Option Prices”,
Courtadon, G. (1982). “A More Accurate Finite Difference Approximation for the
Valuation of Options”, Journal of Financial and Quantitative Analysis, 17(5),
697-703.
Cox, J.C. (1975). “Notes on Option Pricing: Constant Elasticity of Variance
Diffusions”, Mimeo, Standard University (1975).
Cox, J.C. (1996). “The Constant Elasticity of Variance Option Pricing Model”, Journal
of Portfolio Mangement, Special Issue.
Cox, J.C. and Ross S.A. (1976). “The Valuation of Options for Alternative Stochastic
Processes”, Journal of Financial Economics, 3, 145-166.
Cox, J.C., Ross, S.A. and Rubinstein, M. (1979). “Option Pricing: A Simplified
Approach”, Journal of financial Economics, 7(3), 229-263.
Cross, F. (1973). “The Behavior of Stock Prices on Fridays and Mondays”, Financial
Analysts Journal, 29, 67-69.
Crouhy, H. and Rockinger M. (1997), “Volatility Clustering, Asymmetric and
Hysteresis in Stock Returns: International Evidence”, Financial Engineering and
the Japanese Markets, 4, 1-35.
References
360
Curran, M. (1995). “Accelerating American Option Pricing in Lattices”, The Journal
of Derivatives, 3(2).
Curtis, C.E. and Carriker, G.L. (1988). “Estimating Implied Volatility Directly from
“Nearest-to-the-Money” Commodity Option Premiums”, Working Paper Series,
Clemson University, Department of Agricultural and Applied Economics.
Dash, G.H. and Kajiji, N. (2001). “Prediction of FX Volatility Via an RBF Neural
Network with Closed-Form Regularization”, 8th International Conference on
Forecasting Financial Markets, London.
Day, T.E. and Lewis, C.M. (1992). “Stock Market Volatility and the Information
Content of Stock Index Options”, Journal of Econometrics, 52, 267-287.
Den Hertog, R.G.J. (1994). “Pricing of Permanent and Transitory Volatility for U.S.
Stock Returns: A Composite GARCH Model,” Economic Letters, 44, 421-426.
Deo M., Srinivasan, K. and Devanadhen, K. (2008). “An Empirical Analysis of Implied
Volatility in Indian Options Markets”, International Research Journal of Finance
and Economics, 18, 108-126.
Derman, E. and Kani, I. (1994). “Riding on a Smile”, Risk, 7, 32-39.
diBartolomeo, D. (2002). Northfield News, December Quaterly Newsletter,
http://www.northinfo.com/documents/21.pdf.
Dickinson, J.P. (1973). “Some Statistical Results on the Combination of Forecasts”,
Operational Research Quarterly, 24, 253-260.
Dickinson, J.P. (1975). “Some Comments on the Combination of Forecasts”,
Operational Research Quarterly, 26, 205-210.
Diebold, F.X. and Inoue, A. (2001). “Long Memory and Regime Switching”, Journal
of Econometrics, 105, 131-159.
Diebold, F.X. and Lopez, J.A. (1996), “Forecast Evaluation and Combination”,
National Bureau of Economic Research, 192.
References
361
Diebold, F.X. and Nerlove, M. (1989). The Dynamics of Exchange Rate Volatility: A
Multivariate Latent Factor ARCH Model, Journal of Applied Econometrics, 4, 1-21.
Dimson, E. and Marsh, P. (1990). “Volatility Forecasting without Data-Snooping”,
Journal of Banking and Finance, 14(2), 399-421.
Ding, Z., Granger, C.W.J. and Engle, R.F. (1993). A Long Memory Property of Stock
Market Returns and a New Model, Journal of Empirical Finance, 1, 83–106.
Doidge, C. and Wei, J.Z. (1998). “Volatility Forecasting and the Efficiency of the
Toronto 35 Index Options Market”, Canadian Journal of Administrative
Sciences/ Revue Canadienne des Sciences de l'Administration, 15(1), 28-38.
Donaldson, R.G. and Kamstra, M. (1997). “An Artificial Neural Network-GARCH
Model for International Stock Return Volatility”, Journal of Empirical Finance,
4(1), 17-46.
Duan, J. (1995). “The GARCH Option Pricing Model,” Mathematical Finance, 5, 13-32.
Duan, J. (1999). “Conditionally Fat-Tailed Distributions and the Volatility Smile in
Options”, Manuscript, Hong Kong University of Science and Technology.
Duan, J. and Simonato, J.G. (1998). “Empirical Martingale Simulation for Asset
Prices”, Management Science, 44, 1218-1233.
Duan, J., Gauthier, G. and Simonato, J.G. (1999). “An Analytical Approximation for the
GARCH Option Pricing Model”, Journal of Computational Finance, 2, 75-116.
Duan, J.C. (1990). ‘‘The GARCH Option Pricing Model,” Unpublished Manuscript,
McGill University.
Duan, J.C., Gauthier, G. and Simonato, J.G. (1999). “An Analytical Approximation for
the GARCH Option Pricing Model”, Journal of Computational Finance, 2, 75-116.
Duffie, D., Pan, J. and Singleton, K. (2000). “Transform Analysis and Asset Pricing for
Affine Jump-diffusions, Econometrica, 68, 1343–76.
References
362
Dumas, B., Fleming and Whaley (1998). “Implied Volatility Functions: Empirical
Tests”, Journal of Finance, 53, 2059-2106.
Dunis, C.L. and Huang, X. (2002). “Forecasting and Trading Currency Volatility: An
Application of Recurrent Neural Regression and Model Combination”, Journal
of Forecasting, 21(5), 317-354.
Dunis, C.L. and Chen, Y.X. (2005). “Alternative Volatility Models for Risk
Management and Trading: Application to the EUR/USD and USD/JPY
Rates”, Derivatives Use Trading and Regulation, 11(2), 126.
Dupire, B. (1994). “Pricing with a Smile”, Risk, 7, 18-20.
Ederington, L. and Guan, W. (2000). “Why are those Options Smiling?” Working
Paper Series, University of Oklahoma Center for Financial Studies.
Emanuel, D.C. and Macbeth, J.D. (1982). “Further Results on the Constant Elasticity of
Variance Call Option Pricing Model”, Journal of Financial and Quantitative
Analysis, 42, 533-554.
Engle, R. (1982). “Autoregressive Conditional Heteroskedasticity with Estimates of the
Variance of U.K. Inflation”, Econometrica, 50, 987-1008.
Engle, R. and Mustafa, C. (1992). “Implied ARCH Models from Option Prices”,
Journal of Finance, 43, 289-311.
Engle, R. and Ng, V. (1993). “Measuring and Testing the Impact of News on
Volatility”, Journal of Finance, 43, 1749-1778.
Engle, R.F. (1990). “Discussion: Stock Volatility and the Crash of ‘87”, Review of
Financial Studies, 3, 103–106.
Engle, R.F. and Bollerslev, T. (1986). “Modelling the Persistence of Conditional
Variances”, Econometric Reviews, 5(1–50), 81–87.
Engle, R.F. and Lee, G.G.J. (1999), “A Permanent and Transitory Component Model of
Stock Return Volatility,” in R.F. Engle and H. White (eds.), Cointegration,
Causality, and Forecasting: A Festschrift in Honor of Clive W.J. Granger, 475-
497. Oxford, UK: Oxford University Press.
References
363
Engle, R.F., Lilien, D. and Robins, R. (1987). “Estimation of Time Varying Risk
Premiums in the Term Structure, Econometrica, 55, 391–408.
Engle, R.F., Ng, V. and Rothschild, M. (1990). “Asset Pricing with a Factor-ARCH
Covariance Structure: Empirical Estimates for Treasury Bills”, Journal of
Econometrics, 45, 213–239.
Ewing, J.A. (2010). Comparison of Implied Volatility Approximations using
“Nearest-to-the-Money” Option Premiums (Doctoral Dissertation, Clemson
University).
Fama, E.F. (1965). “The Behaviour of Stock Market Prices”, Journal of Business, 38,
34–105.
Fang, H. (2000). “Option Pricing Implications of a Stochastic Jump Rate”, Working
Paper Series, University of Virginia.
Fang, Y. (1996). “Volatility Modelling and Estimation of High-frequency Data with
Gaussian Noise”, Sloan School of Mangement, MIT, PhD thesis,
http://dspace.mit.edu/handle/1721.1/11041.
Feinstein, S.P. (1989), “A Theoretical and Empirical Investigation of the Black–
Scholes Implied Volatility”, Dissertation, Yale University, New Haven, CT.
Fields, M.J. (1931). “Stock Prices: A Problem in Verification”, Journal of Business,
4, 415-418.
Figlewski, S. (1997). “Forecasting Volatility”, in Financial Markets, Institutes and
Instruments, NYU, Salomon Center, 6(1), 1–88.
Figlewski, S. and Green, T.C. (1999). “Market Risk and Model Risk for a Financial
Institution Writing Options,” Journal of Finance 54(4), 1465–999.
Foster, D.P. and Nelson, D.B. (1996). “Continuous Record Asymptotics for Rolling
Sample Variance Estimators”, Econometrica, 64: 139-174.
Franses, P.H. and Dijk, D.V. (1996). “Forecasting Stock Market Volatility using
(Nonlinear) GARCH Models”, Journal of Forecasting, 229-235.
References
364
Franses, P.H. and van Dijk, D. (1996). “Forecasting Stock Market Volatility using Non-
linear GARCH Models”, Journal of Forecasting, 15, 229-235.
French, K.R. (1980). “Stock Returns and the Weekend Effect”, Journal of Financial
Economics, 8, 55-70.
French, K.R., Schwert, G.W. and Stambaugh, R.F. (1987). “Expected Stock Returns
and Volatility”, Journal of Financial Economics, 19, 3-29.
Friedman, B. and Laibson, D. (1989). “Economic Implications of Extraordinary
Movements in Stock Prices”, Brookings Papers on Economic Activity, 2, 137–172.
Galai, D. (1977). “Tests of Market Efficiency of the Chicago Board Options
Exchange”, The Journal of Business, 50(2), 167-197.
Garman, M. B. and Kohlhagen, S.W. (1983). “Foreign Currency Option Values”,
Journal of International Money and Finance, 2(3), 231-237.
Geske, R. (1979). “A Note on an Analytical Valuation Formula for Unprotected
American Call Options on Stocks with known Dividends”, Journal of Financial
Economics, 7(4), 375-380.
Geske, R. and Roll, R. (1984). “Isolating the Observed Biases in American Call
Option Pricing: An Alternative Variance Estimator”, UCLA, Finance
Working Paper Series, 4-84.
Geweke, J. (1986). “Modeling the Persistence of Conditional Variances: A Comment”,
Econometric Reviews, 5, 57–61.
Gibbons, M.R. and Hess, P. (1981). “Day of the Week Effects and Asset Returns”,
Journal of Business, 54, 579-596.
Giovanni, Barone-Adesi and Robert, E. Whaley (1987). “Efficient Analytic
Approximation of American Option Values”, Journal of Finance, 42(2), 301.
Glosten, L.R., Jagannathan, R. and Runkle, D.E. (1993). “On the Relation beween the
Expected Value and the Volatility of the Nominal Excess Return on Stocks”,
Journal of Finance, 48, 1779–1801.
References
365
Goldman, M.B., Sosin, H.B. and Gatto, M.A. (1979), “Path-dependent Options: ‘Buy at
the Low, Sell at the High”, Journal of Finance, 34, 1111-27.
González-Rivera, G. (1998). “Smooth-transition GARCH Models”, Studies in
Nonlinear Dynamics & Econometrics, 3(2).
González-Rivera, G., Lee, T. H. and Mishra, S. (2003). “Jumps in Rank and Expected
Returns: Introducing Varying Cross-sectional Risk”.
Granger, C.W.J. and Hyung, N. (2004). “Occasional Structural Breaks and Long
Memory with an Application to the S&P 500 Absolute Stock Returns”, Journal of
Empirical Finance, 11, 399-421.
Granger, C.W.J. and Ramanathan, R. (1984), “Improved Methods of Forecasting”,
Journal of Forecasting, 3, 197-204.
Gray, S.F. (1996). “Modelling the Conditional Distribution of Interest Rates as a
Regime-Switching Process”, Journal of Financial Economics, 42, 27-62.
Guégan, D. and Diebolt, J. (1994). “Probabilistic Properties of the β-ARCH Model”,
Statistica Sinica, 4, 71-87.
Gujarati, D. (2003). Basic econometrics (4 ed.). New York: McGraw-Hill.
Gultekin, M.N. and Gultekin, N.B. (1983), “Stock Market Seasonality: International
Evidence”, Journal of Financial Economics, 12, 469-481.
Gwilym, O. and Buckle, M. (1999). “Volatiltiy Forecasting in the Framework of the
Option Expiry Cycle”, The European Journal of Finance, 5, 73-94.
Hamilton, J.D. (1988). “Rational Expectations Econometric Analysis of Changes in
Regime. An Investigation of the Term Structure of Interest Rates”, Journal of
Economic Dynamics and Control, 12, 385-423.
Hamilton, J.D. (1989). “A New Approach to the Economic Analysis of Nonstationary
Time Series and Business Cycle”, Econometrica, 57, 357-384.
Hamilton, J.D. (1990). “Analysis of Time Series Subject to Changes in Regime”,
Journal of Econometric, 45, 39-70.
References
366
Hamilton, J.D. (1994). Time Series Analysis, Princeton: Princeton University Press.
Hamilton, J.D. and Susmel, R. (1994). “Autoregressive Conditional Heterskedasticity
and Changes in Regime”, Journal of Econometrics, 64, 307-333.
Hansen, B.E. (1992). “The Likelihood Ratio Test under Non-Standard Conditions:
Testing the Markov Trend Model of GNP”, Journal of Applied Econometrics, 7,
561-582.
Hansen, P. and Lunde, A. (2001). “A Forecast Comparison of Volatility Models:
Does Anything Beat a GARCH(1,1)?” Working Paper Series, Brown
University.
Harris, L. (1986). “Cross-Security Tests of the Mixture of Distributions Hypothesis”,
Journal of Financial and Quantitative Analysis, 21, 39-46.
Harris, L. (1987). “Transaction Data Test of the Mixture of Distributions Hypothesis”,
Journal of Financial and Quantitative Analysis, 22, 127-141.
Harvay, A.C., Ruiz, E. and Shephard, N.G. (1994). “Multivariate Stochastic Variance
Models”, Review of Economic Studies, 61, 247-264.
Harvey and Whaley (1991), “Dividends and S&P 100 Index Option Valuation”,
Working Paper Series, Duke University
Harvinder, K. (2004). “Time Varying Volatility in the Indian Stock Market”, Vikalpa,
29(4), 25-42.
Hawawini G. and Keim, D.B. (1995). “On the Predictability of Common Stock
Returns: World-Wide Evidence” in “Handbooks in Operations Research and
Management Science”, Vol. 9 on Finance by Jarrow, R.A., Maksimovic, V.
and Ziemba, W.T. (ed.), North Holland.
Heston, S.L. (1993). “A Closed Form Solution for Options with Stochastic Volatility
with Applications to Bonds and Currency Options”, Review of Financial Studies,
6(2), 327-43.
Heston, S.L. and Nandi, S. (2000). “A Closed-Form GARCH Option Valuation
Model”, Review of Financial Studies, 13, 585-625.
References
367
Hillebrand, E. (2005). “Neglecting Parameter Changes in GARCH Modles”, Journal of
Econometrics, 129, 121-138.
Hsieh, D. (1991). “Chaos and Non-Linear Dynamics: Application to Financial
Markets”, Journal of Finance, 5, 1839-1877.
Hsieh, K. and Ritchken, P. (2000). “An Empirical Comparison of GARCH Option
Pricing Models”, Manuscript, Case Western Reserve University.
Hull, J. (2005). Options, Futures, and Other Derivatives. Prentice Hall of India Private
Limited.
Hull, J.C., and White, A. (1987). “The Pricing of Options on Assets with Stochastic
Volatilities”, Journal of Finance, 42, 281-300.
Hull, J.C., and White, A. (1988). “An Analysis of the Bias in Option Pricing Caused by
Stochastic Volatility”, Advances in Futures and Options Research, 3, 27-61.
Ingersoll, J. (1975). “Multidimensional Security Pricing”, Journal of Financial and
Quantitative Analysis, 785-798.
Ito, Kiyoshi (1951). “On a Formula Concerning Stochastic Differentials”, Nagoya Math
Journal, 3, 55-65.
Jaffe, J. and Westerfield, R. (1985). “The Week-end Effect in Stock Returns: The
International Evidence”, Journal of Finance, 41: 433-454.
Jaffe, J., Westerfield, R. and Christopher, M.A. (1989). “A Twist on the Monday
Effect in Stock Prices”, Journal of Banking and Finance, 13, 641- 650.
Jarrow, R. and Rudd, A. (1982). Approximate Option Valuation for Arbitrary
Stochastic Processes, Journal of Financial Economics, 10(3), 347-369.
Jiang, J.G. (2004). “Testing Option Pricing Models with Stochastic Volatility, Random
Jump and Stochastic Interest Rate”, Working Paper Series, Finance Department,
Eller College of Business, University of Arizona.
Johnson, H. Ad Shannon, D. (1987). “Option Pricing when the Variance is Changing”,
Journal of Financial and Quantitative Ananlysis, 22, 143-152.
References
368
Jondeau, E. and Rockinger, M. (2006), “The Copula-GARCH Model of Conditional
Dependencies: An International Stock Market Application”, Journal of
International Money and Finance, 25, 827-853.
Jones, E.P. (1984). “Option Arbitrage and Strategy with Large Price Changes”, Journal
of Financial Economics, 13(1), 91-113.
Jorion, P. (1995). “Predicting Volatility in the Foreign Exchange Market”, Journal of
Finance, 50, 507–528.
Jorion, P. (2001). Value at Risk, McGraw-Hill, New York.
Karatzas, I., and Shreve, S.E. (1988). “Brownian Motion and Stochastic Calculus”,
Springer Verlag, New York.
Keim, D.B. and Stambaugh, R.F. (1984), “A Further Investigation of the Weekend
Effect in Stock Returns”, Journal of Finance, 39, 819-835.
Kim, I.J. and Byun, S.J. (1994). “Optimal Exercise Boundary in a Binomial Option
Pricing Model, Journal of Financial Engineering 3, 137-158.
Kim, S., Shephard, N.G. and Chib, S. (1996). “Stochastic Volatility: Optimal Likelihood
Inference and Comparison with ARCH Models”, Review of Economic Studies.
Klaassen, F. (2002). “Improving GARCH Volatility Forecasts with Regime Switching
GARCH”, Empirical Economics, 27, 363-394.
Klüppelberg, C., Lindner, A. and Maller, R. (2004). “A Continuous Time GARCH
Process Driven by a Lévy Process: Stationarity and Second Order Behaviour”,
Journal of Applied Probability, 41, 601-622.
Kosfeld, R. and Robé, S. (2001). “Testing for Non-linearities in German Bank Stock
Returns”, Empirical Economics, 26(3), 581-597.
Kou, S.G. (2002). “A Jump-Diffusion Model for Option Pricing”, Management
Science, 48(8), 1086-1101.
Kumar, S.S.S. (2006). “Comparative Performance of Volatility Forecasting Models in
Indian Markets”.
References
369
Lagnado, R. and Osher, S. (1997). A Technique for Calibrating Derivative Security
Pricing Models: Numerical Solution of an Inverse Problem”, Journal of
Computational Finance, 1(1), 13-25.
Lakonishok, J. and Smidt, S. (1988). “Are Seasonal Anomalies Real? A Ninety Years
Perspective”, Review of Financial Studies, 1, 435-455.
Lauterbach, B., Schultz, P. (1990). “Pricing Warrants: An Empirical Study of the Black-
Scholes Model and its Alternatives”, Journal of Finance, 45, 1118–1209.
Lee, S. and Taniguchi, M. (2005). “Asymptotic Theory for ARCH-SM Models: LAN
and Residual Empirical Processes”, Statistica Sinica, 15, 215-234.
Leisen, D. and Reimer, M. (1995). Discussion Paper No. B (309 Binomial Models for
Option Valuation Examining and Improving Convergence).
Li, C.W. and Li, W.K. (1996). “On a Double Threshold Autoregressive Heteroscedastic
Time Series Model”, Journal of Applied Econometrics, 11, 253-274.
Li, S. (2005). “A New Formula for Computing Implied Volatility”, Applied
Mathematics and Computation, 170(1), 611-625.
Lucey and Shane Whelan (2004). “Monthly and Semi-Annual Seasonality in the Irish
Equity Market 1934-2000”, Applied Financial Economics, 14, 203-208.
Maberly, E. and Waggoner, D. (2000). “Closing the Question on the Continuation of
Turn-of-the-Month Effects: Evidence from the S&P 500 Index Futures
Contract”.
MacBeth, J. and Merville, L. (1979). “An Empirical Examination of the Black-
Scholes Call Option Pricing Model”, Journal of Finance, 34, 1173–1186.
MacMillan, W.L. (1986). “Analytic Approximation for American Put Options”,
Advances in Futures and Options Research, 1, 119-39.
Madan, D.B. and Eugene Seneta (1990). “The Variance Gamma (V.G.) Model for
Share Market Returns”, Journal of Business, 63(4), 511-524.
References
370
Madan, D.B. and Frank Milne (1991). “Option Pricing with VG Martingale
Components”, Mathematical Finance, 1(4), 39-55.
Madan, D.B., Carr, P. and Chang, E. (1998). “The Variance Gamma Process and
Option Pricing Model”, European Finance Review, 2, 79-105.
Madhusudan, K. (2005), “On the Predictive Ability of Several Common Models of
Volatility: A Study on S&P CNX Nifty”, IIM (L) Working Paper Series.
Mahmond, E. (1984). “Accuracy in Forecasting”, Journal of Forecasting, 3, 139-60.
Makridakis, S. and Hibon, M. (1979), “Accuracy of Forecasting: An Empirical
Investigation (with discussion)”, Journal of the Royal Statistical Society, 142,
97-145.
Makridakis, S., Andersen, A., Carbone, R., Fildes, R., Hibon, M., Lewandowski, R.,
Newton, J., Parzen, E. and Winkler, R. (1983), The Forecasting Accuracy of
Major Time Series Methods, Wiley, London.
Makridakis, S., Andersen, A., Carbone, R., Fildes, R., Hibon, M., Lewandowski, R.,
Newton, J., Parzen, E. and Winkler, R. (1982), “The Accuracy of
Extrapolation (Time Series) Methods: Results of a Forecasting Competition”,
Journal of Forecasting, 1, 111-153.
Makridakis, S., Andersen, A., Carbone, R., Fildes, R., Hibon, M., Lewandwski, R.,
Newton, J., Parzen, E. and Winkler, R. (1982). “The Accuracy of Time Series
(Extrapolative) Methods: Results of a Forecasting Competition”, Journal of
Forecasting, 1, 111-53.
McMillan, D., Speight, A. and Apgwilym, O. (2000). “Forecasting UK Stock Market
Volatility”, Applied Financial Economics, 10(4), 435-448.
McNeil, A.J. and Frey, R. (2000), “Estimation of Tail-Related Risk Measures for
Heteroscedastic Financial Time Series: An Extreme Value Approach”, Journal of
Empirical Finance, 7, 271-300.
Meddahi, N. and Renault, E. (2004). “Temporal Aggregation of Volatility Models”,
Journal of Econometrics, 355-379.
References
371
Melino, A. and Turnbull, S.M. (1990). “Pricing Foreign Currency Options with
Stochastic Volatility”, Journal of Econometrics, 45, 239-265.
Merton, R.C. (1973). “Theory of Rational Option Pricing”, The Bell Journal of
Economics and Management Science, 141-183.
Merton, R.C. (1976). “Option Pricing when Underlying Stock Returns are
Discontinuous”, Journal of Financial Economics, 3, 125–44.
Merton, R.C. (1980). “On Estimating the Expected Return on the Market: An
Exploratory Investigation”, Journal of Financial Economics, 8, 323-361.
Metropolis and Ulam, S. (1949), “The Monte Carlo Method”, Journal of the American
Statistical Association, 44, 335-341.
Milhoj, Anders. (1987). “A Conditional Variance Model for Daily Observations of an
Exchange Rate”, Journal of Business and Economic Statistics, 5, pp. 99-103.
Misra, D., Kannan, R. and Misra, S.D. (2006). “Implied Volatility Surfaces: A Study
of NSE Nifty Options”, International Research Journal of Finance and
Economics, 6, 7–23.
Mitra, S.K. (2008), “Valuation of Nifty Options using Black’s Option Pricing
Formula”, The ICFAI Journal of Derviative Markets, 1, 50-61.
Moosa, I., Bollen, B. (2001). “Is there a Maturity Effect in the S&P 500 Futures
Contract Price”, Applied Economic Letters, 8, 693-695.
Moosa, I., Bollen, B. (2002). “A Benchmark for Measuring Bias in Daily Value at
Risk”, International Review of Financial Analysis, 11, 85-100.
Morgan, J.P. (1994). Risk Metrics Technical Document, Morgan Guaranty Trust
Company, New York.
Müller, U.A., Dacorogna, M.M., Davé, R.D., Olsen, R.B., Puctet, O.V. and von
Weizsäcker, J. (1997), “Volatilities of Different Time Resolutions - Analyzing the
Dynamics of Market Components”, Journal of Empirical Finance, 4, 213-239.
References
372
Naik, V. and Lee, M. (1990). “General Equilibrium Pricing of Options on the Market
Portfolio with Discontinuous Returns”, Review of Financial Studies, 3(4), 493-521.
Nam, K., Pyun, C.S. and Arize, A.C. (2002). “Asymmetric Mean-Reversion and
Contrarian Profits: ANST-GARCH Approach”, Journal of Empirical Finance,
9(5), 563-588.
Nelson, D.B. (1990). “ARCH Models as Diffusion Approximations”, Journal of
Econometrics, 45, 7–39.
Nelson, D.B. (1990a), “Stationarity and Persistence in the GARCH(1,1) Model”,
Econometric Theory, 6, 318-334.
Nelson, D.B. (1990b), “ARCH Models as Diffusion Approximations”, Journal of
Econometrics, 45, 7-39.
Nelson, D.B. (1991). “Conditional Heteroscedasticity in Asset Returns: A New
Approach”, Econometrica, 59, 347–370.
Nelson, D.B. (1996a), “Asymptotic Filtering Theory for Multivariate ARCH Models”,
Journal of Econometrics, 71, 1-47.
Nelson, D.B. (1996b), “Asymptotically Optimal Smoothing with ARCH Models”,
Econometrica, 64, 561-573.
Newbold, P. and Granger, C.W.J. (1974). “Experience with Forecasting Univariate
Time Series and the Combination of Forecasts (with discussion)”, Journal of
the Royal Statistical Society, Series A, 137, 131-149.
Noh, J., Engle, R.F. and Kane, A. (1994). “Forecasting Volatility and Option Prices of
the S&P 500 Index”, The Journal of Derivatives, 2(1), 17-30.
Omberg, E. (1988). “Efficient Discrete Time Jump Process Models in Option
Pricing”, Journal of Financial and Quantitative Analysis, 23(2), 161-174.
Oomen, R.C.A. (2002). “Statistical Models for High Frequency Security Prices”,
Working Paper Series, Warwick Business School, University of Warwick.
References
373
Oomen, R.C.A. (2004). “Modelling Realized Variance when Returns are Serially
Correlated”, 11 Wissenschafrzentrum, Discussion Paper SP II.
Orlin G.J. (1983). “The Pricing of Call and Put Options on Foreign Exchange”, Journal
of International Money and Finance, 2(3), 239-253.
Osborne, M.F. (1959). “Brownian Motion in the Stock Market”, Operations
Research, 7(2), 145-173.
Owens, J. and Steigerwald, D. (2005). “Noise Reduced Realized Volatility: A Kalman
Filter Approach”, Advances in Econometrics: Econometric Analysis of Economic
and Financial Time Series, 20(A&B), http//www.economics.ucr.edu/seminars/
spring05/econometrics/DougSteigerwald.pdf.
Pagan, A. (1996). “The Econometrics of Financial Markets”, Journal of Empirical
Finance, 3(1), 15-102.
Pan, J. (2002). “The Jump-Risk Premia Implicit in Options: Evidence from an
Integrated Time-Series Study”, Journal of Financial Economics, 63, 3–50.
Pandey, A. (2002). “The Extreme Value Volatility Estimators and their Empirical.
Performance in Indian Capital Markets”, NSE Working Paper Series, 52,
downloadable from www.nseindia.com
Pandey, A. (2005). “Volatility Models and their Performance in Indian Capital
Markets”, Vikalpa, 30(2), 27.
Pandey, I.M. (2002). “Is There Seasonality in the Sensex Monthly Returns?” Working
Paper Series, Indian Institute of Management.
Pantula, S.G. (1986). “Modelling the Persistence of Conditional Variances: A
Comment”, Econometric Reviews, 5, 71–73.
Parkinson, M. (1977), “Option Pricing: The American Put”, Journal of Business, 21-36.
Parkinson, M. (1980). “The Extreme Value Method for Estimating the Variance of the
Rate of Return”, Journal of Business, 53, 61-65.
References
374
Patel, J.B. (2011). “Calendar Effects in the Indian Stock Market”, International
Business & Economics Research Journal (IBER), 7(3).
Patton, A.J. (2006). “Modeling Asymmetric Exchange Rate Dependence”,
International Economic Review, 47, 527-556.
Poon, S.H. (2005). A Practical Guide to Forecasting Financial Market Volatility,
Wiley Finance, England.
Poon, S.H. and Granger, C.W.J. (2003). “Forecasting Volatility in Financial Markets: A
Review”, Journal of Economic Literature, 41, 478−539.
Poshakwale, S. (1996). “Evidence on Weak Form Efficiency and Day of the Week
Effect in the Indian Stock Market”, Finance India, 10(3), 605-616.
Reid, D.J. (1968). “Combining Three Estimates of Gross Domestic Product”,
Economica, 35, 431-444.
Reid, D.J. (1969). “A Comparative Study of Time Series Prediction Techniques on
Economic Data”, Ph.D. thesis (University of Nottingham, Nottingham).
Risk Metrics Group (1996). Risk Metrics—Technical Document, Morgan J.P.
Ritchken, P. and Trevor R. (1999). “Pricing Options under Generalised GARCH and
Stochastic Volatility Processes”, Journal of Finance, 54, 377-402.
Ritter, J.R. (1988). “The Buying and Selling Behavior of Individual Investors at the
Turn of the Year”, Journal of Finance, 54, 701-717.
Robinson, P.M. (1991). “Testing for Strong Serial Correlation and Dynamic
Conditional Heteroskedasticity in Multiple Regression”, Journal of Econometrics,
47, 67-84.
Rogers, G. and Satchell, S. (1991). “Estimating Variance from High, Low and Closing
Prices”, The Annals of Applied Probability, 1, 504-512.
Roll, R. (1977). “A Critique of the Asset Pricing Theory’s Tests”, Journal of Financial
Economics, 4, 129-176.
References
375
Rozeff, M. and Kinney, W. (1976), “Capital Market Seasonality: The Case of Stock
Returns”, Journal of Financial Economics, 3, 379-402.
Rubinstein, M. (1976). “The Valuation of Uncertain Income Streams and the Pricing of
Options”, Bell Journal of Economics and Management Science, 7, 407-425
Rubinstein, M. (1994). “Implied Binomial Trees”, Journal of Finance, 49(3), 771–818.
Rubinstein, M. (2001). “Rational Markets: Yes or No? The Affirmative Case”,
Financial Analyst Journal, 57, 15-29.
Samuleson, P.A. (1973). “Proof that Properly Anticipated Prices Fluctuate Randomly”,
Industrial Management Review, 6, 41-50
Saravanan S. and Kumar G.P. (2012), “Estimation of Stock Option Prices using
Black-Scholes Model”, International Journal of Research in Commerce, IT
and Management, 2, 130-137.
Sarma, S.N. (2004). “Stock Market Seasonality in an Emerging Market”, Vikalpa,
29(3), 35-41.
Satchell, S. and Timmermann, A. (1992). “Option Pricing with GARCH”, Unpublished
Manuscript, Birkbeck College, University of London.
Schmalensee, R. and Trippi, R.R. (1978). “Common Stock Volatility Expectations
Implied by Option Premia”, Journal of Finance, 33(1), 129–147.
Schroder, M. (1989). “Computing the Constant Elasticity of Variance Option Pricing
Formula”, Journal of Finance, 44, 211-219.
Schultz, P. (1985). “Personal Income Taxes and the January Effect: Small Firm Stock
Returns before the War Revenue Act of 1917”, Journal of Finance, 40:333-343.
Schwartz, E.S. (1977). “The Valuation of Warrants: Implementing a New Approach”,
Journal of Financial Economics, 4(1), 79-93.
Schwarz, G. (1978), “Estimating the Dimension of a Model”, The Annals of Statisitcs,
6, 461-464.
References
376
Schwert, G. (1990). “Stock Market Volatility”, Financial Analyst Journal, May-June.
Schwert, G.W. (1989). “Why does Stock Market Volatility Change over Time”,
Journal of Finance, 44, 1115–1153.
Schwert, G.W. (2003). “Anomalies and Market Efficiency”, Handbook of the
Economics of Finance, 1, 939-974.
Scott Ž. (1997), “Pricing Stock Options in a Jump-diffusion Model with Stochastic
Volatility and Interest Rates: Application of Fourier Inversion Methods”,
Mathematical Finance, 7, 345-358.
Scott, L.O. (1987). “Option Pricing when the Variance Changes Randomly Theory,
Estimation, and an Application”, Journal of Financial and Quantitative Analysis,
22, 419-438.
Scott, L.O. (1991). “Random Variance Option Pricing”, Advances in Futures and
Options Research, 5, 113-135.
Scott, L.O. (1997). “Pricing Stock Options in a Jump-Diffusion Model with Stochastic
Volatility and Interest Rates: Application of Fourier Inversion Methods”,
Mathematical Finance.
Sehgal, S. and Vijayakumar, N. (2008). “Determinants of Implied Volatility Function
on the Nifty Index Options Market: Evidence from India”, Asian Academy of
Management Journal of Accounting and Finance, 4(1), 45-69.
Sentana, E. (1995). “Quadratic ARCH Models”, Review of Economic Studies, 62(4),
639–661.
Sharpe, W.F. (1978), Investments (Prentice-Hall, Englewood Chffs, NJ).
Shephard, N. (1996). “Statistical Aspects of ARCH and Stochastic Volatility”,
Monographs on Statistics and Applied Probability, 65, 1-68.
Smith, C.W. (1976). “Option Pricing: A Review”, Journal of Financial Economics,
3(1), 3-51.
Sprenkle, C. (1961). “Warrant Prices as Indications of Expectations”, Yale Economics
Essays, 1, 139-232.
References
377
Starica, C. and Granger, C.W.J. (2005). “Nonstationarities in Stock Returns”, Review of
Economics and Statistics, 87, 503-522.
Stein, E.M. and Stein, J.C. (1991). “Stock Price Distribution with Stochastic Volatility:
An Analytic Approach”, Review of Financial Studies, 4, 727-752.
Taylor, J.W. (2004). “Volatility Forecasting with Smooth Transition Exponential
Smoothing”, International Journal of Forecasting, 20(2), 273-286.
Taylor, S.J. (1986). Modelling Financial Time Series, Chichester: John Wiley.
Taylor, S.J. (1987). “Forecasting the Volatility of Currency Exchange Rates”,
International Journal of Forecasting, 3(1), 159-170.
Taylor, S.J. (1994). “Modelling Stochastic Volatility: A Review and Comparative
Study”, Mathematical Finance, 4, 183–204.
Taylor, S.J. and Xu, X. (1997). “The Incremental Volatility Information in One
Million Foreign Exchange Quotations”, Journal of Empirical Finance, 4(4),
317-340.
Thorp, E.O. (1973). “Extensions of the Black-Scholes Option Model”, Proceedings of
the 39th Session of the International Statistical Institute, Vienna, Austria, 522-29.
Thorp, O.E. and Kassouf, T.S. (1967). “Beat the Market”, New York, Random House.
Thorpe, O.E. (1973). “Extension of the Black-Scholes Option Model”, 39th Session of
the International Statistical Institute (Vienna, Austria), 1029-1036.
Tilley, J.A. (1993). “Valuing American Options in a Path Simulation Model”,
Transactions of the Society of Actuaries, 45(83), 104.
Tong, H. (1983). Threshold Models in Non-Linear Time Series Analysis, New York:
Springer-Verlag.
Tripathi, V. and Gupta, S. (2010). “Effectiveness of the Skewness and Kurtosis
Adjusted Black-Scholes Model in Pricing Nifty Call Options”, Available at
SSRN 1956071.
References
378
Tsay, R.S. (1989). “Testing and Modelling Thresholds Autoregressive Processes”,
Journal of the American Statistical Association, 84, 231–240.
Tse, Y.K. (1991). “Stock Returns Volatility in the Tokyo Stock Exchange”, Japan
and the World Economy, 3(3), 285-298.
Tse, Y.K. (1998), “The Conditional Heteroscedasticity of the Yen-Dollar Exchange
Rate,” Journal of Applied Econometrics, 13, 49-55.
Varma, J.R. (2002). “Mispricing of Volatility in the Indian Index Options Market”,
Working Paper Series, Indian Institute of Management, Ahmedabad, India.
Walsh, D.M. and Tsou, G.Y.G. (1998). “Forecasting Index Volatility: Sampling
Interval and Non-trading Effects”, Applied Financial Economics, 8(5), 477-485.
Whaley, B. (1982). “Toward a General Theory of Deception”, The Journal of
Strategic Studies, 5(1), 178-192.
Whaley, R.E. (1981). “On the Valuation of American Call Options on Stocks with
Known Dividends”, Journal of Financial Economics, 9(2), 207-211.
Wiggins, B.J. (1987), “Option Values under Stochastic Volatility, Theory and
Empirical Estimates”, Journal of Financial Economics, 19(2), 351-372.
Yu, J. (2002). “Forecasting Volatility in the New Zealand Stock Market”, Applied
Financial Economics, 12(3), 193-202.
Zakoian, J.M. (1994). “Threshold Heteroscedastic Models”, Journal of Economic
Dynamics and Control, 18(5), 931–955.
Zeimba, W.T. (1991), “Japanese Security Market Regularitie: Monthly, Turn of the
Month and Year, Holiday and Golden Week Effects”, Japan and World
Economy, 3, 119-146.
Zhang, Z. and Pan, H. (2006). “Forecasting Financial Volatility: Evidence from
Chinese Stock Market”.