Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"Microstructure Noise"”.
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Price jumps and volatility in U.S. agricultural futures markets
… and the duration of the bias caused by market microstructure noise in measuring efficient price variance in the live cattle futures market from 2011 to 2016, with emphasis on price variance behavior in recent years. The U.S. live cattle futures prices have experienced high levels of intraday …
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Two Essays on the Cross-Section of Stock Returns
… measure to characterize the severity of the microstructure noise at the individual stock level and assess the impact of this microstructure induced illiquidity on cross-sectional return predictability. One of the main advantages of this measure is that it is very simple to construct (requires …
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Non parametric Estimation of high-frequency Volatility and Correlation Dynamics
… when the effects of both irregular sampling and microstructure noise are taken into account. The estimator is showed to be particularly sensitive to one of these quantities, which is in turn used to control the contribution of the above effects. Integrated financial correlation is also analyzed …
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Nonparametric Methods in Financial Time Series Analysis
… in observations and the presence of microstructure noise. Asymptotic properties are derived under some mild conditions. Simulation studies show our method outperforms time domain estimators when two assets with different liquidity are traded asynchronously.
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Volatility and risk management in agricultural commodity markets
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-08-01
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Point process based high frequency volatility estimation : theory and applications
… studies the relative importance of market microstructure (MMS) variables on high-frequency volatility estimation. The third chapter proposes a Markov-switching model for high-frequency volatility estimation and provides intraday measures of information contents in the trading process using …