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VaR and Changing Volatility

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Tradeoff between small and large samples. Conditional volatility versus ... Trickier with weightings. Interesting question. Evaluation? ( graphical) Summary ... – PowerPoint PPT presentation

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Title: VaR and Changing Volatility


1
VaR and Changing Volatility
  • Jorion, Chapter 8
  • VaR and the Unreal World
  • The Pitfalls of VaR estimates

2
Summary
  • Picture of changing volatility
  • Moving averages and rolling VaRs
  • Riskmetrics and weighted variances
  • GARCH modeling of volatility
  • Correlations and portfolios

3
Picture of Changing Volatility
  • dowvolplt.m

4
Summary
  • Picture of changing volatility
  • Moving averages and rolling VaRs
  • Riskmetrics and weighted variances
  • GARCH modeling of volatility
  • Correlations and portfolios

5
Moving Average of Volatility
  • Rolling moving average of returns squared
  • madowvar.m

6
Moving Average of Volatility
  • Brooks/Persand and Hoppe papers
  • Tradeoff between small and large samples
  • Conditional volatility versus large sample size
  • Small often looks better
  • Trickier with weightings
  • Interesting question
  • Evaluation? (graphical)

7
Summary
  • Picture of changing volatility
  • Moving averages and rolling VaRs
  • Riskmetrics and weighted variances
  • GARCH modeling of volatility
  • Correlations and portfolios

8
RiskMetrics VaR
  • h(t) variance at time t
  • Smooth weighting of past volatility

9
Riskmetrics VaR
  • rmdowvar.m
  • hrmdowvar.m

10
Summary
  • Picture of changing volatility
  • Moving averages and rolling VaRs
  • Riskmetrics and weighted variances
  • GARCH modeling of volatility
  • Correlations and portfolios

11
GARCH Modeling
  • GARCH(1,1)
  • Complete model for changing variance

12
GARCH Modeling
  • Forecasting Variance h(t)

13
How Does this Differ from Riskmetrics?
  • For 1 horizon, not much
  • Multi-horizon is different
  • h(tm) is needed

14
GARCH Variance T periods in the future
15
GARCH Variance Forecast
Variance
Shock
Unconditional Variance
Days Ahead
16
RiskMetrics VaRForecasts
  • h(t) variance at time t

17
Summary
  • Picture of changing volatility
  • Moving averages and rolling VaRs
  • Riskmetrics and weighted variances
  • GARCH modeling of volatility
  • Correlations and portfolios

18
Correlations
  • Moving averages
  • Riskmetrics (examples)
  • GARCH

19
Riskmetrics Correlation Example(rmcorr.m)
20
Crashes and Correlations
  • Large down moves connected to increases in
    correlations
  • Implications for risk management and portfolio
    construction
  • Reliability in the data?

21
Final Suggestions on Volatility
  • Options data and implied volatility
  • High frequency data
  • High/low range data
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