The Mexican stock exchange (BMV) has experienced significant volatility in recent years, making portfolio optimization a challenging task for investors. Traditional methods, such as Mean-Variance (MV) models, often fail to account for the dynamic nature of asset correlations and volatility. This study proposes a conditional covariance matrix approach to address these limitations and provide more effective portfolio optimization strategies for BMV investors. This study employs EWMA, DCC, and MV models due to their established track record in capturing conditional covariance. EWMA's exponential weighting scheme allows for adaptability to changing market conditions, while DCC accounts for dynamic correlations between assets. MV provides a baseline for comparison.
DCC uses the univariate GARCH model for each series of returns.
These models were selected based on their ability to address the specific
challenges of the BMV, such as volatility and correlation. All three models
were applied to the main 15 assets of the Mexican Stock Exchange (BMV). To get
the optimal portfolio, the method known as quadratic programming was used,
which allows, unlike the method of Lagrange multipliers, to obtain positive
weights.
The findings suggest that investors can reduce portfolio risk by
up to 47.78% using the EWMA model. and 25.45%, in the case of the Dynamic
Conditional Correlation model, both compared with the unconditional covariance
matrix model. Likewise, the evaluation of portfolios shows an increase in
performance in the long term, for both cases constructed by using a conditional
covariance matrix.
Author
(s) Details
Julio César Martínez
Sánchez
Programa de Estadística, Colegio de Postgraduados, Carretera
México-Texcoco, Km. 36.5, 56230, Texcoco Estado de México, México.
David Sotres-Ramos
Programa de Estadística, Colegio de Postgraduados, Carretera
México-Texcoco, Km. 36.5, 56230, Texcoco Estado de México, México.
Martha Elva Ramírez
Guzmán
Programa de Estadística, Colegio de Postgraduados, Carretera
México-Texcoco, Km. 36.5, 56230, Texcoco Estado de México, México.
Please see the book here:- https://doi.org/10.9734/bpi/mcscd/v8/2976
No comments:
Post a Comment