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Intraday high-frequency data of stock returns exhibit not only typical characteristics (e.g., volatility clustering and … the leverage effect) but also a cyclical pattern of return volatility that is known as intraday seasonality. In this paper …, we extend the stochastic volatility (SV) model for application with such intraday high-frequency data and develop an …
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This paper examines continuous-time models for the price and volatility processes of individual stocks and the S …\amp;P 100 index via Markov Chain Monte Carlo estimation. We find that the stochastic processes governing individual stocks are … diffusive volatility innovations we find that the first principal component is highly correlated with index variance innovations …
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This paper examines continuous-time models for the S&P 100 index and its constituents. We find that the jump process of the typical stock looks significantly different than that of the index. Most importantly, the average size of a jumps in the returns of the typical stock is positive, while it...
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This study is designed to model and forecast Nigeria's stock market using the AllShare Index (ASI) as a proxy. By … studyanalyzes the stock market volatility in three distinct regimes (accumulation or distri-bution - regime 1; big-move - regime 2 …
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