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08/06/2015
1
What’s Happening to Interest Rates?
Andrew D Smith
05 June 2015
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Presentation Overview
• Interest rate history: long term and the recent past
• Using diffusion models
• Interpreting prices of interest rate options
• Supply and demand arguments for lower bounds
• Conclusions
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2
History of Interest Rates
05 June 2015
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Why Interest Rates Matter for Investors
• Rates explain market prices of fixed income instruments
• Input to liability valuation calculations for insurers and pension funds
• If invested short, lower rates squeeze available balance sheet capital
• Hurdle rates for project investments
• At the apex of a dependency structure for many planning models (for
example, equity returns expressed as risk-free + risk premium)
• Interest rates spreads affect profitability of carry trades (for example,
rolling futures, swaps against liabilities discounted at bond yields.)
• A policy instrument that may be used to target inflation or FX rates.
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UK Base Rates since 1694
5
Source Bank of England, Guardian, Macrobond
05 June 2015
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UK Market Rates (2 Year Term)
6
0.0%
2.5%
5.0%
7.5%
10.0%
12.5%
15.0%
1970 75 80 85 90 95 2000 05 10 15
Gilts
LIBOR
OIS
Source: Bank of England
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International Comparison: 2 Year Gov Yields
7
0.0%
2.5%
5.0%
7.5%
10.0%
12.5%
15.0%
70 75 80 85 90 95 00 05 10 15
USD
DEM
GBP
Source: Fed, BoE, Buba
05 June 2015
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Recent Yields on German Bonds
8
-0.25%
0.00%
0.25%
0.50%
0.75%
1.00%
2012 2013 2014 2015
5 year
4 year
3 year
2 year
1 year
Source: Buba
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UK 2-Year Spreads (Swaps over Gilts)
9
-0.2%
0.0%
0.2%
0.4%
0.6%
0.8%
1.0%
1.2%
1990 95 2000 05 10 15
LIBOR
OIS
Source: Bank of England
05 June 2015
Local Volatility Diffusion Models
Calibrating Drift and Volatility Terms
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Geometric Random Walk Models
• The default model for positive economic series (such as share prices
or foreign exchange rates)
• The absolute size of an extreme percentile stress is proportional to the
current level
• This is consistent with Solvency II standard formula approach for
equities, property and the risk-free curve.
11 05 June 2015
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The Rate Fall in 2012
12
0.01%
0.10%
1.00%
10.00%
10 11 12 13 14 15
2 y
ear
gilt
spot
yie
ld (
log s
cale
)
31 July 2011, r=0.75%
31 July 2012, r = 0.07%
9σ event
1-in-1018 years
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Test for Constant Volatility
08 June 2015 13
1970 1975 1980 1985 1990 1995 2000 2005 2010
Quadra
tic V
ariation
= S
um
of S
quare
d C
hanges
The red line shows the
cumulative sum of
squared log changes.
The abrupt change of
direction in the financial
crisis shows that an
increase in (relative)
volatility accompanied
falling rates.
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What if We Don’t Take Logs?
08 June 2015 14
1970 1975 1980 1985 1990 1995 2000 2005 2010
Quadra
tic V
ariation
= S
um
of S
quare
d C
hanges
The blue line shows the
cumulative sum of
squared changes in
absolute rates. Here
the slope is decreasing;
the absolute level of
volatility has reduced
as rates have fallen.
08/06/2015
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Displaced Random Walk Model
08 June 2015 15
1970 1975 1980 1985 1990 1995 2000 2005 2010
Quadra
tic V
ariation
= S
um
of S
quare
d C
hanges
The green line shows
the cumulative sum of
squared changes in
log(r+3.48%). This is
closer to a constant
slope, or equivalently,
the green line is as
close as we can get to
a straight line.
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What is a Diffusion Process?
• Generalise the arithmetic / geometric random walk
• Write down a plausible equation for interest rates and then fit
parameters.
• Fix a rate term, and consider rt as a Markov process
• Diffusion process – no discontinuities
• Characterised by conditional mean per unit time (drift) and
conditional variance per unit time (volatility squared)
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Diffusion Formula
17
yie
ld
time 0 1
r0 r0+μ(r0)+σ(r0)
r0+μ(r0)-σ(r0)
drt = μ(rt)dt + σ(rt)dZt
05 June 2015
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The Cox-Ingersoll-Ross Model
18
drt = α(μ-rt)dt + ηrt½ dZt
Change in yield
Mean reversion
Ergodic Mean
Volatility
Change in
Brownian Motion
Avoids zero
(without the rt½ term, we
have the Vasiček model)
Possible parameters:
μ = 5%
α = 0.02
η = 0.20
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What is the Lower Bound for Interest Rates?
• The lower bound is an artefact of the model we choose.
08 June 2015 19
Model Interest Rate Lower Bound
Geometric random walk Zero
Cox-Ingersoll-Ross Zero (instant rate)
Strictly positive (positive terms)
Arithmetic random walk Unbounded
Vasiček Unbounded
Displaced geometric random walk -3.48%
Interest Rate Option Pricing Models
Black, Bachelier and Related Models
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Implied Volatility of Interest Caps and Floors
08 June 2015 21
0%
10%
20%
30%
40%
50%
60%
70%
80%
0% 2% 4% 6% 8% 10%
strike
5 y
ear
lognorm
al im
plie
d v
ola
tilit
y
Implied volatility flattens for large strikes.
Implied volatility explodes as strikes approach zero
As at 29 May 2015
Source: Bloomberg
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1-Year Ahead Percentiles of GBP LIBOR
22
1%
2%
3%
4%
5%
6%
7%
8%
9%
10%
Jan-98 Jan-00 Jan-02 Jan-04 Jan-06 Jan-08 Jan-10 Jan-12 Jan-14
95%-ile
Mean
5%-ile
Source: Bank of England
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What is the Lower Bound for Interest Rates?
• The lower bound is an artefact of the model we choose.
08 June 2015 23
Model Interest Rate Lower Bound
Bank of England (Shimko method
of extrapolating Black /
lognormal implied volatility)
Zero
Bachelier (normal implied
volatility); Johnson curves
Unbounded
Displaced geometric random
walk (Piterbarg DDSV LMM)
-3.48% or other estimated
constant
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Extending Displaced Geometric RW’s
24
• First published 1906.
• Reprinted 2009.
• Norman Lloyd Johnson (1917-2004)
qualified as FIA in 1949.
• William Palin Elderton (1877–1962) was
President of the Institute of Actuaries 1932–
1934.
• Johnson distribution family includes normal
and displaced lognormal distributions.
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What do the Examiners Say? (CT8, Apr 2012, Q 6)
25
(i) Write down a stochastic differential equation for the short rate rt for the
Vasiček model.
(ii) State the type of process of which the Vasiček model is a particular example.
(iii) Solve the stochastic differential equation in (i).
(iv) State the distribution of rt for t given.
(v) Derive the expected value and the second moment of rt for t given.
(vi) Outline the main drawback of the Vasiček model.
Examiners’ Model Solution to part (vi):
“The process may become negative which is undesirable in a nominal interest
rate model”
[1]
[1]
[5]
[1]
[3]
[1]
05 June 2015
Supply and Demand Considerations
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Could Interbank Rates become Negative?
• Short government bond yields have become negative in several
currencies
• LIBOR (inter-bank unsecured borrowing) has remained positive
• Typically settled as two cash flows (deposit, followed by redemption +
interest)
• No particular administrative issues with the interest rate becoming
negative – it would mean banks had to pay other banks to look after
their money.
• Negative swap rates also theoretically feasible.
• What about negative perpetuity yields?
27 05 June 2015
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Are Negative Interest Rates Logical?
• Investors can choose to hold physical banknotes.
• It could be argued that the option to hold banknotes should keep
market interest rates above zero.
• But this ignores:
– Cost of storage
– Risk of theft
– Damage from floods, fire
– Cost of moving cash, especially across borders
– Legal tender issues
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Conclusions
05 June 2015
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Lessons Learned from Recent Rate Moves
• Negative nominal rates are already here for a few economies, and
could spread further.
• Model output is a function not only of input parameters but also the
chosen model structure. Consider several alternative models.
• If a single model says negative rates (or rates above 100%) can’t
happen, this does not mean these rates can’t happen.
• Think about fundamental supply and demand in the broader economy
• Interpreting derivative prices requires a whole host of subsidiary
assumptions.
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05 June 2015
31
Expressions of individual views by members of the Institute and Faculty of
Actuaries and its staff are encouraged.
The views expressed in this presentation are those of the presenter.
Questions Comments