Dinasti International Journal of Economics, Finance & Accounting (DIJEFA)
Vol. 4 No. 3 (2023): Dinasti International Journal of Economics, Finance & Accounting (July - August

Forecasting Volatility Persistence: Evidence from International Stock Markets

Enow, Samuel Tabot (Unknown)



Article Info

Publish Date
11 Jul 2023

Abstract

Volatility persistence represents a notable feature of financial markets and is a widely studied phenomenon that explores the clustering and leverage effects of stock market returns. Recognizing and incorporating volatility persistence into risk management, asset pricing, and portfolio management strategies provide valuable insights for market participants enabling them to navigate and capitalize on the dynamics of market volatility. The aim of this study was to empirically investigate whether the current high volatility in stock markets are temporal or will persist in the future. An ARCH model and a GARCH model were employed to achieve the aim of this study for the JSE, CAC 40, DAX, Nasdaq and Nikkei 225 from May 29, 2023 to May 29, 2018. The findings revealed that stock market volatility will persist at least for some time from the ARCH and GARCH output results. Active traders and market makers need to adapt their strategies in response to the expected volatility persistence. Higher levels of persistence may call for adjustments such as widening stop-loss orders to accommodate larger price swings or using more extended timeframes to capture sustained trends. Portfolio managers may also opt for strategies that thrive in volatile market conditions such as breakout trading or mean reversion strategies

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Journal Info

Abbrev

DIJEFA

Publisher

Subject

Economics, Econometrics & Finance

Description

The author is invited to submit a paper for Dinasti International Journal of Economics, Finance & Accounting (DIJEFA). Topics related to this journal include but are not limited to: Accounting and financial reporting Audit Accounting management Taxation Corporate finance Personal finance Financial ...