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Learning About the Role of Market Micro-Structure from High-Frequency Data on Asian Banks

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Notes

  1. 1.

    There is no need to test for a jump in the individual stock price, as the estimates of the diffusion and jump betas depend only on whether the factor was diffusion or experienced a jump.

  2. 2.

    The standard CAPM beta, \( {\beta}_i=\frac{Cov\left({R}_{i,}{R}_m\right)}{Var\left({R}_m\right)} \).

  3. 3.

    See, for example, Press (1967), Merton (1976), and Ball and Torous (1983) and among others.

  4. 4.

    The notation here is simplified relative to that in Todorov and Bollerslev (2010)—see their article for more details.

  5. 5.

    The basic idea of relying on higher orders powers of returns to isolate the jump component of the price has previously been used in many other situations, both parametrically and non-parametrically; see, e.g. Barndorff-Nielsen and Shephard (2003) and Aït-Sahalia (2004).

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Chowdhury, B., Dungey, M., Jeyasreedharan, N., Sayeed, M.A. (2017). Learning About the Role of Market Micro-Structure from High-Frequency Data on Asian Banks. In: Batabyal, A., Nijkamp, P. (eds) Regional Growth and Sustainable Development in Asia. New Frontiers in Regional Science: Asian Perspectives, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-319-27589-5_8

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