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underwriters and issuing firms in the Japanese corporate bond market, stochastic life table forecasting: a time-simultaneous fan …
Persistent link: https://www.econbiz.de/10010860080
forecasting errors in realized volatility are substantive. Even though returns standardized by ex post quadratic variation …
Persistent link: https://www.econbiz.de/10010862570
In this paper, we extract common factors from a cross-section of U.S. macro-variables and Treasury zero-coupon yields. We find that two macroeconomic factors have an important predictive content for government bond yields and excess returns. These factors are not spanned by the cross-section of...
Persistent link: https://www.econbiz.de/10010886225
forecasting errors in realized volatility are substantive. Even though returns standardized by ex post quadratic variation …
Persistent link: https://www.econbiz.de/10011272575
The paper investigates the impact of jumps in forecasting co-volatility, accommodating leverage effects. We modify the … forecasting weekly and monthly horizons. …
Persistent link: https://www.econbiz.de/10011272957
__Abstract__ The paper investigates the impact of jumps in forecasting co-volatility, accommodating leverage effects … for forecasting weekly and monthly horizons. …
Persistent link: https://www.econbiz.de/10011274348
forecasting errors in realized volatility are substantive. Even though returns standardized by ex post quadratic variation …
Persistent link: https://www.econbiz.de/10011256164
to the cross-sectional dimension, the forecasting performance of small monetary VARs can be improved by adding additional …
Persistent link: https://www.econbiz.de/10005248367
We show that two macroeconomic factors have an important predictive content for governmentbond yields and excess returns. These factors are not spanned by the cross-section of yields andare well proxied by economic growth and real interest rates.
Persistent link: https://www.econbiz.de/10010606850
The internal models amendment to the Basel Accord allows banks to use internal models to forecast Value-at-Risk (VaR) thresholds, which are used to calculate the required capital that banks must hold in reserve as a protection against negative changes in the value of their trading portfolios. As...
Persistent link: https://www.econbiz.de/10010731585