2022
DOI: 10.1186/s13662-022-03743-3
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Parameter estimation for discretized geometric fractional Brownian motions with applications in Chinese financial markets

Abstract: It is widely accepted that financial data exhibit a long-memory property or a long-range dependence. In a continuous-time situation, the geometric fractional Brownian motion is an important model to characterize the long-memory property in finance. This paper thus considers the problem to estimate all unknown parameters in geometric fractional Brownian processes based on discrete observations. The estimation procedure is built upon the marriage between the bipower variation and the least-squares estimation. Ho… Show more

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