Risk-appetite discriminated investors' portfolio optimization using regime-switching models: Comparative analysis between sharia-compliant and non-sharia-compliant stocks

This study examines the portfolio wealth maximization (PWM) of risk-appetite discriminated (RAD) investors through technical analysis using regime-switching (RS) and non-RS models. The sample consists of 314 companies listed on Pakistan Stock Exchange (PSX), whereby 124 companies are Sharia-complian...

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Main Author: Saleem, Hassan Mujtaba Nawaz
Format: Thesis
Language:English
Published: 2021
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Online Access:https://etd.uum.edu.my/10974/1/s902260_01.pdf
https://etd.uum.edu.my/10974/
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spelling my.uum.etd.109742024-02-13T07:19:01Z https://etd.uum.edu.my/10974/ Risk-appetite discriminated investors' portfolio optimization using regime-switching models: Comparative analysis between sharia-compliant and non-sharia-compliant stocks Saleem, Hassan Mujtaba Nawaz HG Finance This study examines the portfolio wealth maximization (PWM) of risk-appetite discriminated (RAD) investors through technical analysis using regime-switching (RS) and non-RS models. The sample consists of 314 companies listed on Pakistan Stock Exchange (PSX), whereby 124 companies are Sharia-compliant (SC) and 190 companies are non-Sharia-compliant (NC), The daily data of stock prices from 18/11/2015 until 31 /05/2019 were collected from multiple secondary sources and processed through MATLAB software. The behavior of PSX is determined through exploratory data analysis (EDA) of various stylized facts' statistical descriptions and transition filtered probability forecasts (TFPF). Cumulated daily wealth (CDW) forecasts are checked and analyzed throughout the out-sample (OS) period. Moreover, cumulated ending wealth (CEW) and Sharpe ratio (SR) forecasts are also analyzed for robustness. Based on the strong asymmetric means and correlations observed during in-sample (IS)/OS and bull-market/bear-market periods movements, the PSX showed RS behavior. Further, the regime statistics and TFPF re-affirmed the findings where PSX switched 237 times between Regime-I and Regime-2 during 922 days trade. This study revealed that RS models-based portfolios' SC and NC stocks CEW increased 6.41 and 5.74 times, respectively. Unlike RS models, the non-RS models offer risk-appetite premium to the risk-taker investor but their CDWs, CEWs, and SRs are far low compared to their counterparts. Hence, RS models-based investment of RAD investors in SC stocks has outperformed. The current study contributes towards the portfolio optimization (PO) literature in context of random matrix theory (RMT) originated RS models applications to the emerging market Sharia screened stocks. The outcomes of this study are helpful for investors and traders in their portfolio diversification decision processes, and regulators and policymakers in their regulations formulation, policies articulation, and implementation decisions. Thus, the religiously compliant investments offer optimal PWM to the RAD investors who invest through RS models-based strategies in RS markets. 2021 Thesis NonPeerReviewed text en https://etd.uum.edu.my/10974/1/s902260_01.pdf Saleem, Hassan Mujtaba Nawaz (2021) Risk-appetite discriminated investors' portfolio optimization using regime-switching models: Comparative analysis between sharia-compliant and non-sharia-compliant stocks. Doctoral thesis, Universiti Utara Malaysia.
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
url_provider http://etd.uum.edu.my/
language English
topic HG Finance
spellingShingle HG Finance
Saleem, Hassan Mujtaba Nawaz
Risk-appetite discriminated investors' portfolio optimization using regime-switching models: Comparative analysis between sharia-compliant and non-sharia-compliant stocks
description This study examines the portfolio wealth maximization (PWM) of risk-appetite discriminated (RAD) investors through technical analysis using regime-switching (RS) and non-RS models. The sample consists of 314 companies listed on Pakistan Stock Exchange (PSX), whereby 124 companies are Sharia-compliant (SC) and 190 companies are non-Sharia-compliant (NC), The daily data of stock prices from 18/11/2015 until 31 /05/2019 were collected from multiple secondary sources and processed through MATLAB software. The behavior of PSX is determined through exploratory data analysis (EDA) of various stylized facts' statistical descriptions and transition filtered probability forecasts (TFPF). Cumulated daily wealth (CDW) forecasts are checked and analyzed throughout the out-sample (OS) period. Moreover, cumulated ending wealth (CEW) and Sharpe ratio (SR) forecasts are also analyzed for robustness. Based on the strong asymmetric means and correlations observed during in-sample (IS)/OS and bull-market/bear-market periods movements, the PSX showed RS behavior. Further, the regime statistics and TFPF re-affirmed the findings where PSX switched 237 times between Regime-I and Regime-2 during 922 days trade. This study revealed that RS models-based portfolios' SC and NC stocks CEW increased 6.41 and 5.74 times, respectively. Unlike RS models, the non-RS models offer risk-appetite premium to the risk-taker investor but their CDWs, CEWs, and SRs are far low compared to their counterparts. Hence, RS models-based investment of RAD investors in SC stocks has outperformed. The current study contributes towards the portfolio optimization (PO) literature in context of random matrix theory (RMT) originated RS models applications to the emerging market Sharia screened stocks. The outcomes of this study are helpful for investors and traders in their portfolio diversification decision processes, and regulators and policymakers in their regulations formulation, policies articulation, and implementation decisions. Thus, the religiously compliant investments offer optimal PWM to the RAD investors who invest through RS models-based strategies in RS markets.
format Thesis
author Saleem, Hassan Mujtaba Nawaz
author_facet Saleem, Hassan Mujtaba Nawaz
author_sort Saleem, Hassan Mujtaba Nawaz
title Risk-appetite discriminated investors' portfolio optimization using regime-switching models: Comparative analysis between sharia-compliant and non-sharia-compliant stocks
title_short Risk-appetite discriminated investors' portfolio optimization using regime-switching models: Comparative analysis between sharia-compliant and non-sharia-compliant stocks
title_full Risk-appetite discriminated investors' portfolio optimization using regime-switching models: Comparative analysis between sharia-compliant and non-sharia-compliant stocks
title_fullStr Risk-appetite discriminated investors' portfolio optimization using regime-switching models: Comparative analysis between sharia-compliant and non-sharia-compliant stocks
title_full_unstemmed Risk-appetite discriminated investors' portfolio optimization using regime-switching models: Comparative analysis between sharia-compliant and non-sharia-compliant stocks
title_sort risk-appetite discriminated investors' portfolio optimization using regime-switching models: comparative analysis between sharia-compliant and non-sharia-compliant stocks
publishDate 2021
url https://etd.uum.edu.my/10974/1/s902260_01.pdf
https://etd.uum.edu.my/10974/
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