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the leverage effect) but also a cyclical pattern of return volatility that is known as intraday seasonality. In this paper … is two-fold. First, we model the intraday seasonality of return volatility as a Bernstein polynomial and estimate it …Intraday high-frequency data of stock returns exhibit not only typical characteristics (e.g., volatility clustering and …
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It is a widely known fact that the intraday seasonality of trading intervals for financial transactions such as stocks … method to estimate this intraday seasonality simultaneously. To efficiently generate the Monte Carlo sample, we used a hybrid … capturing this intraday seasonality, this paper also considers limit order book information. Three-day tick data for three …
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In econometrics, Autoregressive Conditional Duration (ACD) models use high-frequency economic or financial duration data, which mostly exhibit irregular time intervals. The ACD model is widely used to examine the duration of transaction volume and duration of price variations in stock markets....
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estimation procedures. Our key interest is the extraction of intra-day volatility patterns from high-frequency integer price …We investigate high-frequency volatility models for analyzing intra-day tick by tick stock price changes using Bayesian … distributions. We allow for stochastic volatility by modeling the variance as a stochastic function of time, with intra-day periodic …
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