PODCAST · business
Volatility Forecasting in Markets
by Tanzeela
we are gonna discuss The Volatility and its predictable pattern in the Financial Markets ! Volatility—the magnitude of price fluctuations—is the lifeblood of options pricing, risk management, and portfolio allocation. Unlike price direction, which is notoriously difficult to forecast, volatility exhibits persistence, clustering, and mean reversion, making it partially predictable.
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Realized Volatility and HAR-RV in Volatility Indexing
This article explores realized volatility—volatility measured from intraday returns—and the Heterogeneous Autoregressive (HAR) model. It explains why HAR-RV outperforms GARCH for short-term forecasts, the role of jumps and leverage effects, and how traders use 5-minute data to predict tomorrow's risk.
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GARCH Models of Predicting Volatility in Financial Markets
This article explains the GARCH framework, which models volatility as a function of past squared returns and past volatilities. It covers volatility clustering, mean reversion, and the key differences between ARCH, GARCH, and EGARCH. Applications include value-at-risk (VaR), option pricing, and dynamic hedging.
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ABOUT THIS SHOW
we are gonna discuss The Volatility and its predictable pattern in the Financial Markets ! Volatility—the magnitude of price fluctuations—is the lifeblood of options pricing, risk management, and portfolio allocation. Unlike price direction, which is notoriously difficult to forecast, volatility exhibits persistence, clustering, and mean reversion, making it partially predictable.
HOSTED BY
Tanzeela
CATEGORIES
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