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This research aims to improve the efficiency in estimating the Hurst exponent in financial time series. A new procedure is developed based on equality in distribution and is applicable to the estimation methods of the Hurst exponent. We show how to use this new procedure with three of the most...
Persistent link: https://www.econbiz.de/10013413110
This paper presents an empirical evidence suggesting that Japanese interest rates for different maturities possess long-range dependence in both mean and volatility. For long-term bonds, predictability in the term structure of interest rates increases with maturity, suggesting that there exists...
Persistent link: https://www.econbiz.de/10010589132
short term memory and the volatility of returns common in such financial asset return data, we filter the data by an AR-GARCH …
Persistent link: https://www.econbiz.de/10010590306
The paper considers the Markov-Switching GARCH(1,1)-model with time-varying transition probabilities. It derives … empirical observation that estimated GARCH-parameters often sum to almost one. …
Persistent link: https://www.econbiz.de/10010264309
BEKK-GARCH model to estimate time-varying conditional correlations. Gold plays an important role in financial markets with …
Persistent link: https://www.econbiz.de/10014284447
In this paper we compare the price of an option with one year maturity of the German stock index DAX for several volatility models including long memory and leverage effects. We compute the price by applying a present value scheme as well as the Black-Scholes and Hull-White formulas which...
Persistent link: https://www.econbiz.de/10010296646
It has long been known that the estimated persistence parameter in the GARCH(1,1) - model is biased upwards when the …
Persistent link: https://www.econbiz.de/10010296748
The paper considers the Markov-Switching GARCH(1,1)-model with time-varying transition probabilities. It derives su … observation that estimated GARCH-parameters often sum to almost one. …
Persistent link: https://www.econbiz.de/10010296750