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The contributions of error distributions have been ignored while modeling stock market volatility in Nigeria and … studies have shown that the application of appropriate error distribution in volatility model enhances efficiency of the model … asymmetric volatility models each in Normal, Student's-t and generalized error distributions with the view to selecting the best …
Persistent link: https://www.econbiz.de/10011489480
value robust volatility estimator with respect to the standard robust volatility estimator as proposed in the paper by … Muneer & Maheswaran (2018b). We show that the robust volatility ratio is unbiased both in the population as well as in finite … samples. We empirically test the robust volatility ratio on 9 global stock indices from America, Asia Pacific and EMEA markets …
Persistent link: https://www.econbiz.de/10012023869
This paper introduces a multivariate kernel based forecasting tool for the prediction of variance-covariance matrices of stock returns. The method introduced allows for the incorporation of macroeconomic variables into the forecasting process of the matrix without resorting to a decomposition of...
Persistent link: https://www.econbiz.de/10011823257
market uncertainty and volatility of the investment instruments. Thus, the prediction of the uncertainty and volatilities of … to identify the best fit model that can predict the volatility of return of Bitcoin, which is in high demand as an … the residuals of the average equation model selected have ARCH effect. Volatility of Bitcoin return series after detection …
Persistent link: https://www.econbiz.de/10014382180
In the academic literature, the economic interpretation of stock market volatility is inherently ambivalent, being … volatility-dependent cross-market spillovers. If higher volatility in one market leads to higher (lower) reactions in another … market, volatility reflects information (uncertainty). We introduce a simultaneous time-varying coefficient model, where …
Persistent link: https://www.econbiz.de/10010339937
We compare more than 1000 different volatility models in terms of their fit to the historical ISE-100 Index data and … for modeling the ISE-100 return volatility. The t-distribution seems to characterize the distribution of the heavy tailed … model to the historical ISE-100 return data indicates that the return volatility reacts to bad news 24% more than they react …
Persistent link: https://www.econbiz.de/10013159436
volatility estimation in terms of volatility jumps being examined and modeled for the international equity market, using such a … properties of jumps. These volatility-estimation and jump properties are also evident in jump modeling based on statistical and …Using high-frequency intraday data, we construct, test and model seven new realized volatility estimators for six …
Persistent link: https://www.econbiz.de/10013029279
In this paper we test for (Generalized) AutoRegressive Conditional Heteroskedasticity [(G)ARCH] in daily data on 22 exchange rates and 13 stock market indices using the standard Lagrange Multiplier [LM] test for GARCH and a LM test that is resistant to patches of additive outliers. The data span...
Persistent link: https://www.econbiz.de/10011284080
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