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This paper introduces Quasi-Maximum Likelihood Estimation for Long Memory Stock Transaction Data of unknown underlying distribution. The moments with conditional heteroscedasticity have been discussed. In a Monte Carlo experiment, it was found that the QML estimator performs as well as CLS and...
Persistent link: https://www.econbiz.de/10012022130
by estimating the intermittency parameter and forecasting of volatility for a sample of financial data from stock and … foreign exchange markets. -- Random Lognormal cascades ; GMM estimation ; best linear forecasting ; volatility of financial …
Persistent link: https://www.econbiz.de/10009389845
inference problem of estimating an option pricing model which displays two stochastic volatility factors, allows for co …-jumps between price and volatility, and stochastic jump intensity. Furthermore, we consider real data and estimate the model on a …
Persistent link: https://www.econbiz.de/10014235890
Portfolio sorting is ubiquitous in the empirical finance literature, where it has been widely used to identify pricing anomalies in different asset classes. Despite the popularity of portfolio sorting, little attention has been paid to the statistical properties of the procedure or to the...
Persistent link: https://www.econbiz.de/10011523775
This paper proposes a new approach to control the effects of time-varying parameters on the estimates of abnormal returns. Event studies usually assume that the parameters of the market model are stable. Using a sample of firm takeovers, however, I find that this assumption is indeed rejected....
Persistent link: https://www.econbiz.de/10012854703
Sellers of variance swaps earn time-varying risk premia for their exposure to realized variance, the level of variance swap rates, and the slope of the variance swap curve. To measure risk premia, we estimate a dynamic term structure model that decomposes variance swap rates into expected...
Persistent link: https://www.econbiz.de/10011523781
Persistent link: https://www.econbiz.de/10014546370
The paper proposes a new robust estimator for GARCH-type models: the nonlinear iterative least squares (NL-ILS). This estimator is especially useful on specifications where errors have some degree of dependence over time (weak-GARCH) or when the conditional variance is misspecified. I illustrate...
Persistent link: https://www.econbiz.de/10012928873
Although the main interest in the modelling of electricity prices is often on volatility aspects, we argue that … towards volatility features of the time series.For the older electricity market of Nord Pool in Norway, it is found that a …
Persistent link: https://www.econbiz.de/10011334362
contribution of this paper is twofold. First, it provides a bivariate asymptotic limit theory for realised variance and realised … asymptotic variance of the estimation bias. Eventually, this leads to a feasible asymptotic theory which is applicable in … practice. Finally, Monte Carlo studies reveal a good finite sample performance of the proposed feasible limit theory …
Persistent link: https://www.econbiz.de/10012708910