32 research outputs found

    ARE VOLATILITY EXPECTATIONS CHARACTERIZED BY REGIME SHIFTS? EVIDENCE FROM IMPLIED VOLATILITY INDICES

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    This paper examines nonlinearities in the dynamics of volatility expectations using benchmarks of implied volatility for the US and Japanese markets. The evidence from Markov regime-switching models suggests that volatility expectations are likely to be governed by regimes featuring a long memory process and significant leverage effects. Market volatility is expected to increase in bear periods and decrease in bull periods. Leverage effects constitute thus an important source of nonlinearities in volatility expectations. There is no evidence of long swings associated with financial crises, which do not have the potential of shifting volatility expectations from one regime to another for long protracted periods.Markov Regime Switching, Implied Volatility Index, Nonlinear Modelling.

    The Stochastic Dynamics, Forecasting Ability and Risk Factors in Implied Volatility

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    STOCK MARKET VOLATILITY AND THE FORECASTING ACCURACY OF IMPLIED VOLATILITY INDICES

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    This study develops a new model-free benchmark of implied volatility for the Japanese stock market similar in construction to the new VIX based on the S&P 500 index. It also examines the stochastic dynamics of the implied volatility index and its relationship with realized volatility in both markets. There is evidence that implied volatility is governed by a long-memory process. Despite its upward bias, implied volatility is more reflective of changes in realized volatility than alternative GARCH models, which account for volatility persistence and the asymmetric impact of news. The implied volatility index is also found to be inclusive of some but not all information on future volatility contained in historical returns. However, its higher out-of sample performance provides further support to the rationale behind drawing inference about future stock market volatility based on the incremental information contained in options prices.Licensing; Implied volatility index, Out-of-sample forecasting, GARCH modelling

    Stock Market Volatility and the Forecasting Accuracy of Implied Volatility Indices

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    Nonlinear adjustments of volatility expectations to forecast errors: Evidence from Markov-Regime switches in implied volatility

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    This paper tests for nonlinearities in the behavior of volatility expectations based on model-free implied volatility indices. Using Markov regime-switching models, the empirical evidence from the German, Japanese and U.S. markets suggests that there are indeed regime-specific levels of volatility expectations. Whereas the regimes seem to be governed by the degree of serial correlation and adjustment to forecast errors, there is no evidence of significant leverage effects. The frequency of regime shifts in volatility expectations is affected by the onset of financial crises, which have the effect of increasing the likelihood of regimes driven by lower autoregressive effects and faster speeds of adjustment. The evidence suggests that despite the heterogeneous beliefs of market participants, implied volatility indices provide a measure of consensus expectations that can be useful in understanding the nonlinear behavior of volatility expectations during periods of financial instabilit

    Are Volatility Expectations Characterized By Regime Shifts? Evidence From Implied Volatility Indices

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    Trends on rates of return on capital by industries in Japan

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    Cover title"To be presented at the Rate of Return Conference, June 9-12, 1981, Lincoln Institute of Land Policy."Includes bibliographical references (p. [48]
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