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8/10/2019 Risk Management_Group 5_Section 2
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Risk Managem
Failures:What are they and When do th
Section 2 | Group 5
Jyoti Ranjan Behera (2013PGP086)|P. Sriram (2013PGP097)|Rohan Modi
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Introduction
The concept of risk management failure is usually misunderstood
Often the blame for the 2007 Global Meltdown is thrust upon the farisk management at the financial institutions across the globe
An attempt is made to understand when the bad outcomes can be bon risk management and when they cannot
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LTCM: Background
LTCM was founded in 1994 by John W. Meriwether, the former vicechairman and head of bond trading at Salomon Brothers. MemberLTCM's board of directors included Myron S. Scholes and Robert C. who shared the 1997 Nobel Memorial Prize in Economic Sciences f"new method to determine the value of derivatives
Trading strategy involved taking advantage of the arbitrage betwee
securities that were incorrectly priced relative to each other Due to the small spread in arbitrage opportunities, the fund had to
leverage itself highly to make money
LTCM: Long-Term Capital Management
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Before its collapse, it had
Capital : close to $5 billion
Assets : over $100 billion and
Positions : total worth was over a $1 trillion
The fund held huge positions in the market, totaling roughly 5% the total global fixed-income market
LTCM: Background (Contd.)
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Performance of the fund: Pre-Crisis
20%
43% 41%
17%
0%
10%
20%
30%
40%
50%
1994 1995 1996 1997
Interest
Interest
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The Crisis
In 1998, the default of Russia on its rouble denominated debt (defaGovernment bonds), plunged the whole world capital markets into
Due to LTCMs highly leveraged nature, the fund sustained massiveand was in danger of defaulting on its loans
By September, 1998; the capital of the company had fallen by more$3.5 billion which made it difficult for the fund to cut its losses in itpositions
Had LTCM gone into default, it would have triggered a global financ
crisis, caused by the massive write-offs its creditors would have hamake
The Federal Reserve Bank of NY coordinated a rescue by private fininstitutions that injected $3.65 billion and thus a systematic meltdothe market was thus prevented
The 70% fall in the capital raised the question as to whether it wasbecause of the failure of risk management
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Risk Management
Risk
Measure
RiskTolerance
Risk
Tolerance
Reduce the Risk Increase the
Manage &Monitor the
Risk
Communicatethe Risk
Assess theRisk
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Analysis
The managers told the investors that there was a 99% probabili
generating a return of 25% and 1% chance of making a loss of 7thus, the expected return being 24.05%
In this case, the managers knew the true distribution of possibloutcomes of the fund
The risk managers knew what was at stake and hence it would bwrong to say that there was a failure of risk management
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Large losses and Risk Management
1. Often large losses are a result of too much leverage
By increasing the leverage, the returns to the shareholders get a boothe expense of making more losses if things dont work out the wayplanned
2. Large losses also arise when the top management has a lot of incen
to take risk Financial economists argue that the incentives of the top manageme
are better aligned with those of the shareholders when the managehas a large stake in the firms equity
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Thus, risk management does not prevent losses
Interestingly, even with good risk management, larglosses can occur when the decision makers conclude
taking large, well understood risks create a value fororganisation
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Typology of Risk Management Failures
Measurement of known risks Failure to take risks into account
Failure in communicating the risks to top management
Failure in monitoring the risks
Failure in managing the risks
Failure to use appropriate risk metrics
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Measurement of known risks
Mistake in assessing the probability of a large loss
Mistake in assessing the size of a large loss; if it occurs
Incorrect assessment of the relation between the returns acros
Misleading historical data
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Failure to take risks into account
Ignoring the known risks
For e.g.: When Russia defaulted, it imposed a moratorium on these banmany collapsed, as a result, the hedge funds ended up having exchange rbecause their counterparties did not honour the hedges. So LTCM did ncounterparty risk in forwards properly into account.
Unknown risks - Other unknown risks may not matter simply becau
they have a trivially low probability.e.g.: There is some probability that a building will be hit by an asteroid. Tdoes not affect any management decisions. Ignoring that risk has no implifor risk management. Because of this, they have to conclude that they capture all risks in their models and therefore, some capital has to beavailable to cope with unknown risks.
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Failure to take risks into account
Mistakes in information collection
For e.g.: In a Union Bank of Switzerland , group of traders was using dif
computers from the rest of the bank, so that integrating their systems in
bankssystems would have required them to change computers.
Eventually, the bank decided, at the top level, that it was more important
the traders make money than disrupt what they were doing thchanges of computers. Soon thereafter, this group of traders lost a
amount of money for the bank. The loss was partly responsible for the
having to merge with another Swiss bank.
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Failure in monitoring/managing risk
Risks can change sharply even when the firm
takes no decision / position
Contingency hedging plans
Heisenberg Principle: chain reaction ofadjustments
X
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Failure to use appropriate risk metrics
Use of daily VaR measure for trading activities implications ofexceedances
VaR doesnt capture huge losses that have small probability ofoccurring so it should be complemented with risk measures likeexpected shortfall which give the expected value of loss X
Whether large gains , small exceedances or large exceedances and
small gains.(Latter casedetrimental to the firm).
VaR is not sub additive , hence not a coherent risk measure. In some
cases where return distributions are non elliptical , there may be
situations when portfolio aggregate VaR is greater than the sum of
individual VaR of the assets of the portfolio.
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Daily VaR assumes that assets can be sold quickly, howeverthere might be scenarios where the markets may become
suddenly illiquid . For e.g.: Russian crisis of 1998
So if a firm sits on assets not tradable using daily VaR doesntserve the purpose as firm is stuck for a longer time horizon
Existing risk models are not designed to capture risksassociated with crisis and help firms manage them they usehistorical data and with short horizons they may not capturethe crisis.
Failure to use appropriate risk metrics
X
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Leverage at LTCM
LTCM didnt want to manage a business earning 17% return, ins
wanted similar higher returns seen in 1995 and 1996
Capital Base expanded to $ 7.4 bn, but decided to return 36% ocapital back to investors
So, it had to borrow(take leverage) to provide the targeted retuthe investors.
Had off-balance sheet derivative positions with a notional valueapproximately $1.25 trillion
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Repercussions of Leverage
As a result of these losses, LTCM had to liquidate a number positions at a highly unfavourable moment and suffer further losse
LTCM established an arbitrage position in the dual-listed compan"DLC") Royal Dutch Shell. Royal Dutch traded at an 8%-10% premrelative to Shell.
In total $2.3 billion was invested, half of which was "long" in Shethe other half was "short" in Royal Dutch betting that the share pwould converge
The premium of Royal Dutch had increased to about 22%, which imthat LTCM incurred a large loss on this arbitrage strategy. LTCM$286 million in equity pairs trading and more than half of this laccounted for by the Royal Dutch Shell trade
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Why do hedge funds leverage?
Hedge-Funds usually aim to provide high returns through trading mothe derivatives market and sometimes use arbitrage opportunities t
smaller profits
For LTCM, increasing leverage was a positive NPV decision when it wmade, but obviously ex post it was a costly decision as it meant thatassets fell in value, the funds equity fell in value faster than it wouldwith less leverage.
In order to generate higher returns and provide better shareholder managers take the view that the gains related with leverage are muchigher that the associated downside costs in the normal course of thbusiness
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Short Term vs Long Term Risk Managem
Short term risk measures like VaR simply risk measures and focus onthe immediate loss the company could bear. Also there are helpful in
devising simplified hedging strategies
Short-term Risk measures like VaR do not consider contagious risks, a situation of crisis where one days loss would significantly change trisk characteristics for the second day
Short term risk management doesnt focus on crisis-risk as the
possibility of a crisis happening in the short term is very low, wherealong term risk management considers this and hence considers therelated risks like liquidity risk and chain reactions with mark-to-marklosses that come along with a crisis
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Crises may involve a dramatic withdrawal of liquidity from the mark
The withdrawal of liquidity means that firms are stuck with positions
they never expected to hold for a long time because price pressure c
involved in trading out of these positions are extremely high
Positions whose risk was evaluated over one day because the firm
thought it could trade out of these positions suddenly became
positions that had to be held for weeks or months
Also , firms will make multiple losses that exceed their daily VaRs an
these losses can be large enough to substantially weaken them. As a
result, risk measures have to contemplate the distribution of large lo
over time rather than over one day
Using Long Term horizon for evaluating Risk
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Conclusion There are many ways that risk management failures can occur, but not
loss reflects a risk management failure
However, risk management practice can be improved by taking into a
the lessons from financial crises
These crises happen often enough that they have to be carefully modelle
institutions have to focus on scenario analyses that assess the impli
of crises for their financial health and survival
Scenario analyses should not be built from quantitative models usin
data, but instead they must use economic analysis to evaluate the impact
withdrawal of liquidity and the feedback effects that are common in fi
crises
To successfully impact firm strategy, such analyses have to be
rooted in a firms culture and in the strategic thinking of top managem
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