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(unit roots in levels together with fat tails in returns and volatility clustering). Our time series analysis of simulated …
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We build an equilibrium model to explain why stock return predictability concentrates in bad times. The key feature is that investors use different forecasting models, and hence assess uncertainty differently. As economic conditions deteriorate, uncertainty rises and investors' opinions...
Persistent link: https://www.econbiz.de/10011721618
breaks) in the volatility of financial time series. Comparative study of three techniques: ICSS, NPCPM and Cheng's algorithm … breaks in volatility, while Cheng's technique works well only when a single break occurs. …
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We estimate a general microstructure model of the transitory and permanent impact of order flow on stock prices. Jumps are detected in both the transaction price (observation equation) and fundamental value (state equation). The model's parameters and variances are updated in real time. Prices...
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financial investments has been debated in the literature. In this study, we compare the volatility of rates of return of …, it is important to model and quantify it. The conditional volatility models from the GARCH family and tail …
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