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Stock and oil relationship is usually time-varying and depends on the current economic conditions. In this study, we propose a new Dynamic Stochastic Mixed data frequency sampling (DSM) copula model, that decomposes the stock-oil relationship into a short-run dynamic stochastic component and a...
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Using high-frequency data, we decompose the time-varying beta for stocks into beta for continuous systematic risk and beta for discontinuous systematic risk. Estimated discontinuous betas for S&P500 constituents between 2003 and 2011 generally exceed the corresponding continuous betas. We...
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Volatilities -- Extensions of the Black-Scholes theory to other types of options (futures options, currency options, American options, path-dependent options, multi-asset options) -- Fundamentals: stochastic analysis and applications, interest rate dynamics, and basic principles of pricing...
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use of computational methods and techniques for modelling financial asset prices, returns, and volatility, and on the use …
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This paper examines how the size of the rolling window, and the frequency used in moving average (MA) trading strategies, affects financial performance when risk is measured. We use the MA rule for market timing, that is, for when to buy stocks and when to shift to the risk-free rate. The...
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