Generalized Autoregressive Conditional Heteroskedasticity.¶
Bollerslev, T. (1986). Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, 31(3), 307-327.
Cited by¶
1 citation across 1 artifact.
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Primes¶
- Stochastic Process
- Should it be Markov (today's state sufficient for tomorrow's distribution) or should it carry memory (volatility clustering, where turbulent days follow turbulent days, demanding a GARCH or stochastic-volatility process whose dependence reaches back)?
This sourceIntroduces GARCH for modeling volatility clustering — history-dependent (non-Markov) financial price processes.
- Should it be Markov (today's state sufficient for tomorrow's distribution) or should it carry memory (volatility clustering, where turbulent days follow turbulent days, demanding a GARCH or stochastic-volatility process whose dependence reaches back)?
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