Cover image for Volatility as an Asset Class : Obvious Benefits and Hidden Risks.
Volatility as an Asset Class : Obvious Benefits and Hidden Risks.
Title:
Volatility as an Asset Class : Obvious Benefits and Hidden Risks.
Author:
Jablecki, Juliusz.
ISBN:
9783653047875
Personal Author:
Edition:
0
Physical Description:
1 online resource (180 pages)
Series:
Polish Studies in Economics ; v.4

Polish Studies in Economics
Contents:
Cover -- Contents -- Introduction -- 1 Volatility and Its Estimation -- 1.1 Introduction -- 1.2 Volatility measurement -- 1.2.1 Alternative volatility estimators -- 1.2.2 High-frequency data -- 1.2.3 Concluding remarks -- 1.3 Volatility forecasting -- 1.3.1 Time series analysis -- 1.3.2 Forecasts implied by option prices -- 1.3.3 Concluding remarks -- 1.4 Volatility surface and option pricing -- 1.4.1 Local volatility model -- 1.4.2 Stochastic volatility models -- 1.4.3 Concluding remarks -- 1.5 Conclusions -- 2 Overview of volatility derivatives -- 2.1 Volatility exposure in a delta-hedged option -- 2.2 Variance swaps -- 2.3 VIX and VIX futures -- 2.4 VIX options -- 2.5 The economics of volatility derivatives -- 3 Options Delta Hedging with No Options at All -- 3.1 Introduction -- 3.2 Options as volatility instruments - replicating realized volatility -- 3.3 Volatility arbitrage based on various frequencies of data -- 3.4 Methodology and data -- 3.5 Empirical research -- 3.5.1 S&P 500 index - the most developed market -- 3.5.2 The case for other developed markets (FTSE, NIKKEI225, DAX) -- 3.5.3 The case for emerging markets (WIG20, KOSPI, BOVESPA) -- 3.6 Summary -- 4 Volatility Derivatives in Portfolio Optimization -- 4.1 Introduction -- 4.2 The merits of investing in volatility -- 4.3 Volatility in portfolio optimization -- 4.3.1 Benchmark portfolio -- 4.3.2 Long position in implied volatility -- 4.3.3 Short position in realized volatility -- 4.3.4 A combination of long and short position in volatility -- 4.4 Summary -- 5 Benefits of Using Volatility Futures in Investment Strategies -- 5.1 Introduction -- 5.2 Volatility as a traded asset -- 5.3 Markowitz model - a short review -- 5.4 Black-Littermann model - a short review -- 5.5 Markowitz model - application -- 5.5.1 Data used -- 5.5.2 Simulation -- 5.5.3 Empirical results.

5.6 Black-Litterman model - application -- 5.6.1 Data used -- 5.6.2 Simulation -- 5.6.3 Empirical results -- 5.7 Summary -- 6 Predictive Properties of the Volatility Term Structure -- 6.1 Introduction -- 6.2 Volatility term structure of VIX futures - predictive properties based on regression model -- 6.2.1 Motivation -- 6.2.2 Literature review -- 6.2.3 Methodology and data -- 6.2.4 Results -- 6.2.5 Remarks -- 6.3 Predicting VIX - an investment model approach -- 6.3.1 Motivation -- 6.3.2 Data description -- 6.3.3 Methodology -- 6.3.4 Measures of volatility term structure -- 6.3.5 Forecasting properties of volatility term structure -- 6.3.6 Investment model -- 6.4 Summary -- Conclusions -- List of figures -- List of tables -- Bibliography.
Abstract:
Volatility derivatives are an important group of financial instruments and their list is much longer than volatility index futures and options. This book reviews methods used for measurement, estimation and forecasting volatility and presents major classes of volatility derivatives and their possible applications in investment strategies and portfolio optimization. Since volatility is not constant, its term structure and the phenomenon of the volatility risk premium are discussed in view of the permanently instable relation between realized and implied volatility. The study proposes a method to use this information in the process of forecasting future values of volatility.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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