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and the Cost of Funds -- Chapter 11. Investing in Assets: Theory of Investment Decision Making -- Chapter 12. Regression …
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I analyze time series momentum along the Treasury term structure. Past bond returns predict future returns both due to … autocorrelation in bond risk premia and because unexpected bond return shocks increase the premium. Yield curve momentum is primarily … due to autocorrelation in yield changes rather than autocorrelation in bond carry and can largely be captured using a …
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We propose a general class of Markov-switching-ARFIMA processes in order to combine strands of long memory and Markov-switching literature. Although the coverage of this class of models is broad, we show that these models can be easily estimated with the DLV algorithm proposed. This algorithm...
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study the dynamics of the whole high-dimensional system with a low-dimensional representation. We illustrate the theory with …
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The volatility implied by observed market prices as a function of the strike and time to maturity form an Implied Volatility Surface (IVS). Practical applications require reducing the dimension and characterize its dynamics through a small number of factors. Such dimension reduction is...
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Empirical studies have shown that a large number of financial asset returns exhibit fat tails and are often characterized by volatility clustering and asymmetry. Also revealed as a stylized fact is Long memory or long range dependence in market volatility, with significant impact on pricing and...
Persistent link: https://www.econbiz.de/10003636008
(High dimensional) time series which reveal nonstationary and possibly periodic behavior occur frequently in many fields of science. In this article, we separate the modeling of high dimensional time series to time propagation of low dimensional time series and high dimensional time invariant...
Persistent link: https://www.econbiz.de/10008663392