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different frequencies but also due to the preservation of high-frequency features such as time-varying volatility. Temporally … aggregated models misspecify the evolution frequency of the volatility dynamics, resulting in poor volatility timing and worse … mixed-frequency nature of predictors and volatility in predictive regressions …
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Stochastic processes is one of the key operations research tools for analysis of complex phenomenon. This paper has a unique application to the study of mean changing models in stock markets. The idea is to enter and exit stock markets like Apple Computer and the broad S&P500 index at good times...
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dynamic factor and a vector autoregressive model and includes stochastic volatility, denoted by FAVAR-SV. Next, a Bayesian … risk features like volatility and largest loss, which indicates that complete densities provide useful information for risk. …
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Chapter 1 Introduction -- Chapter 2 Efficient markets -- Chapter 3 Equity premium -- Chapter 4 The dividend ratio model -- Chapter 5 Bond valuation -- Chapter 6 Yield curves -- Chapter 7 Term structure models -- Chapter 8 Real estate market -- Chapter 9 Derivative securities -- Chapter 10...
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