Forecasting Model of Microsoft’s Daily Return and Its Volatility

Returns on stocks often fluctuate greatly.Financial analysts must develop the right models in order to predict returns on stocks and volatility.This study constructs an initial AR model for predicting Microsoft's daily return.It then uses the ARCH-LM test method to verify the ARCH impact in the residuals and plots the ACF and PACF plots to determine the autocorrelation relationship between the squares of the residual terms.Finally, it constructs the full model, which consists of a GARCH model to predict Microsoft's volatility and an AR model to forecast the company's daily return.

Publication Details

Journal
International Research Journal of Economics and Management Studies
Published
2024-09-30
DOI
https://doi.org/10.56472/25835238/irjems-v3i9p119
Primary Topic
Forecasting Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Forecasting Model of Microsoft’s Daily Return and Its Volatility

International Research Journal of Economics and Management Studies
Forecasting Techniques and Applications
article

Forecasting Model of Microsoft’s Daily Return and Its Volatility

article en

Abstract

Returns on stocks often fluctuate greatly.Financial analysts must develop the right models in order to predict returns on stocks and volatility.This study constructs an initial AR model for predicting Microsoft's daily return.It then uses the ARCH-LM test method to verify the ARCH impact in the residuals and plots the ACF and PACF plots to determine the autocorrelation relationship between the squares of the residual terms.Finally, it constructs the full model, which consists of a GARCH model to predict Microsoft's volatility and an AR model to forecast the company's daily return.

International Research Journal of Economics and Management StudiesVol. 3(9)
Openalex Percentile: Top 64%
Forecasting Techniques and Applications
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Forecasting Model of Microsoft’s Daily Return and Its Volatility · International Research Journal of Economics and Management Studies (2024) | TGRS Research Map | TGRS