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This paper provides a general framework for integration of high-frequency intraday data into the measurement forecasting of daily and lower frequency volatility and return distributions. Most procedures for modeling and forecasting financial asset return volatilities, correlations, and...
Persistent link: https://www.econbiz.de/10012787458
structure to commodity futures prices, and develop new algorithms for estimation of such models using unbalanced data sets in …
Persistent link: https://www.econbiz.de/10013081835
Volatility permeates modern financial theories and decision making processes. As such, accurate measures and good forecasts of future volatility are critical for the implementation and evaluation of asset pricing theories. In response to this, a voluminous literature has emerged for modeling the...
Persistent link: https://www.econbiz.de/10012774886
What do academics have to offer market risk management practitioners in financial institutions? Current industry practice largely follows one of two extremely restrictive approaches: historical simulation or RiskMetrics. In contrast, we favor flexible methods based on recent developments in...
Persistent link: https://www.econbiz.de/10012784980
We develop new procedures for maximum likelihood estimation of affine term structure models with spanned or unspanned … produces the same estimator as maximizing the likelihood. It improves the numerical behavior of estimation by eliminating …
Persistent link: https://www.econbiz.de/10013053780
We selectively survey, unify and extend the literature on realized volatility of financial asset returns. Rather than focusing exclusively on characterizing the properties of realized volatility, we progress by examining economically interesting functions of realized volatility, namely realized...
Persistent link: https://www.econbiz.de/10013224993