scholarly journals Testing Market Efficiency, Predictability and Profitability at Pakistan Stock Exchange Using Firm-level Data

2020 ◽  
Vol 6 (1) ◽  
pp. 1-10
Author(s):  
Syed Arshad Ali Shah ◽  
Naimat Ullah Khan ◽  
Muhammad Daud Ali

This study examines market efficiency in the light of the simple moving average technical trading rules on daily closing share prices of 100 companies listed on Pakistan Stock Exchange over ten years from 2006 to 2015. The results show strong support for simple moving average rules having both predictability and profitability for PSX. It refers that the returns from these rules are not same as investors earn from a naïve buy and hold strategy. The uses of these simple moving average rules produce abnormal returns to investors and hence nullify the weak form of efficiency on PSX.

2021 ◽  
Vol 6 (1) ◽  
pp. 209-215
Author(s):  
Syed Arshad Ali Shah ◽  
Dr.Anwarul Mujahid Shah ◽  
Dr.Saiful Mujahid shah

The efficient market hypothesis has been one of themost extensively researched topics in the academic literature for decades. An implication ofweak form of efficiency is that the technical trading rules will not produce abnormal returns. The purpose of this research is to analyze findings of application of trading range breakout test on daily closing share prices of 100 companies listed on a Pakistan Stock Exchange over ten years from 2006 to 2015,thus examining its efficiency at the weak form. The results show strong support for trading range break-out rules having both predictability and profitability for PSX. It refers that the returns from these rules are not same as investors earn from a naïve buy and hold strategy. The uses of the trading range break-out rules produce abnormal returns to investors and hence nullify the weak form of efficiency on PSX.


Author(s):  
Farah Naz ◽  
Kanwal Zahra ◽  
Muhammad Ahmad ◽  
Salman Riaz

This study scrutinizes the day-of-the-week effect anomaly in the context of market and industry analysis of the Pakistan stock exchange. For this purpose, daily closing prices of KSE-100, KSE-30, and KSE-All Share Index from January 01, 2009 to December 31, 2018, have been used. Similarly, sector returns are also calculated, taking average log-returns of selected sample firms. To analyze the data ordinary least squares (OLS) regression, general generalized autoregressive conditional heteroscedasticity (GARCH) (1,1) as well as asymmetric threshold GARCH (TGARCH) and exponential GARCH (EGARCH) models have been employed to model the leverage effect of good and bad news on market volatility. The results indicate the evidence of daily seasonality, with significant Monday and Wednesday effect in PSX indices returns as well as in most of the industry returns. Monday is found to be the day with the highest average returns with the highest return volatility. The findings of the study reveal that there exists a weak form of inefficiency in the Pakistan Stock Market, which implies the possibility of earning abnormal returns by investors using timing strategies. In terms of return predictability, this study is essential for international and domestic investors and it may affect their investment strategy and return management. The results might be interesting to the financial experts as they ponder the available conditions in the capital market for financial decision-making. This study is one of its first kind that includes both indices as well as industry returns for analysis of manufacturing industries in Pakistan stock exchange.


2015 ◽  
Vol 4 (4) ◽  
pp. 52-61
Author(s):  
Tamilselvan Manickam ◽  
R Madhumitha

The competence of a financial system is entirely depending upon the stock market efficiency. The gradual growth of equity investor’s participation is inevitable to enrich the overall growth of emerging economies.Hence the necessity is felt to provide an empirical support to the investing community. For the purpose, this study attempts to examine the weak-form efficiency of Indian stock market – National Stock Exchange (NSE). The study has used the daily closing price of the Nifty fifty stocks from 3rdJanuary 2011 to 24thApril 2015. To test the weak form efficiency both parametric and non-parametric tests called Autocorrelation, Augmented Dicky Fuller test, and Runs Test were performed.  The study reveals that 39 stocks of NSE-Nifty Fifty are found to be weak form inefficient, so that the investors can formulate trading strategies to gain abnormal returns. The Index and 10 stocks are found to be weak form efficient during the study period since the price series found to be autocorrelation existence.


2017 ◽  
Vol 16 (2) ◽  
pp. 573-602
Author(s):  
Rafaela Augusta Cunha Silveira ◽  
Renata Turola Takamatsu ◽  
Bruna Camargos Avelino

Resumo O rating de crédito expressa uma opinião, por intermédio de escalas, sobre a qualidade do crédito de empresas, utilizado-a como medida de avaliação de risco no mercado. Agências de classificação de risco de crédito, como a Moody’s, divulgam os ratings que atribuem às empresas. Primeiramente, essas agências emitem o new rating, que representa o primeiro rating da companhia, e, posteriormente, essa emissão pode apresentar variações, denominadas upgrades e downgrades, relativas a boas e más notícias, respectivamente. Além disso, os ratings podem ser colocados em uma Watchlist quando, em breve, pode haver uma mudança do rating para downgrade ou para upgrade. O objetivo com este estudo consistiu, diante do que foi tratado, em abordar o impacto do rating de crédito sobre os preços das ações de empresas listadas na bolsa de valores brasileira. Para alcançar o objetivo proposto, foi analisada uma amostra de 44 empresas comercializadas na BM&FBovespa e 65 ratings nacionais de longo prazo emitidos pela Moody’s entre 2000 e 2015. Utilizou-se a metodologia de estudo de eventos, com os retornos normais calculados pelo modelo de retornos ajustados ao risco e ao mercado, e o Teste-F e o Teste-T para verificar a significância dos resultados. As análises finais evidenciaram que os preços das ações não são afetados de forma significativa pelas divulgações dos new ratings, downgrades, upgrades, on watch – possible downgrades e on watch – possible upgrades em nenhuma janela do evento, indicando que os ratings, para a amostra analisada, não trazem novas informações ao mercado.Palavras-chave: Ações. Rating. Estudo de eventos. Retornos anormais. Abstract Credit ratings are used as a mean to investors get new information on the companies by reducing the information asymmetry in the market. Thus, the rating is an important mean of business information with investors, enabling share prices relating to companies react to it. Branches of credit rating as Moody's, disclose the ratings they assign to companies. First, the agency issues the new rating, which represents the company's first rating, then this issue may vary, upgrades and downgrades calls relating to good and bad news respectively. In addition, the ratings could be placed in a Watchlist when, soon there may be a change to the rating downgrade or upgrade. The purpose of this study was to discuss the impact that the credit rating has on stock prices of companies listed on the Brazilian stock exchange. For a sample of 44 companies traded on BM&FBovespa and 65 long-term national ratings issued by Moody's between 2000 and 2015, we used the event study methodology, with normal returns calculated by the model of returns adjusted for risk and market the F-Test and T-Test to test the significance of the results. The final analysis showed that stock prices are not significantly affected by the disclosures of new ratings, downgrades, upgrades, on watch – possible downgrades and on watch – possible upgrades in any event window, indicating that the ratings do not bring new information to the market.Keywords: Stocks. Rating. Event studies. Abnormal returns.


2020 ◽  
Vol 10 (1) ◽  
pp. 71
Author(s):  
Attaullah Shah ◽  
Naimat U. Khan ◽  
Fasiha Kiran

2016 ◽  
Vol 12 (1) ◽  
pp. 51
Author(s):  
Reza Widhar Pahlevi

Market anomalies appears on all forms of efficient markets, both weak form, semi-strong and strongform. But plenty of evidence to link the anomaly with semi-strong form efficient market exploited togenerate abnormal returns. Market anomalies that is often discussed is the Day of the Week Effect,January Effect, Week Four Effect and other market anomalies. Empirical research is intended todetermine whether there is the phenomenon of the day of the week effect, week four effect, the effectrogalsky and January effect on LQ 45 stocks in the Indonesia Stock Exchange year period 2014-2015.Based on the analysis of data, shows that there is the phenomenon of the day of week effect on thecompany LQ-45 in Indonesia Stock Exchange 2014-2015 period, there is the phenomenon of weekfour effect on the LQ-45 in Indonesia Stock Exchange 2014-2015 period, there are phenomenonRogalski Effect on the LQ-45 in Indonesia Stock Exchange 2014-2015 period and there is no Januaryeffect phenomenon in the LQ-45 in Indonesia Stock Exchange 2014-2015 period.Keywords: the day of the week effect, week four effect, rogalsky effect and january effect


2020 ◽  
Vol 21 (1) ◽  
pp. 9-28
Author(s):  
Hesham I. Almujamed

Purpose This research aimed to evaluate the predictability of moving-average strategies and examined the validity of the weak form of the efficient market hypothesis (EMH) for securities of banks listed in the Gulf Cooperation Council (GCC) stock markets of Bahrain, Kuwait, Qatar and Saudi Arabia. Design/methodology/approach Several statistical analyses and eight moving-average rules were employed where buy and sell signals were produced by comparing a security price’s short- and long-term moving averages. The study covered the daily closing share prices of 40 GCC-listed banks over the 18-year period ending 31 December 2017. Findings The results suggest that securities of banks in the GCC were not weak-form efficient because share prices were predictable. Investors who traded using moving-average strategies could generate higher profits. Analysis of variance found that securities of Kuwaiti banks were the most efficiently priced. Practical implications The findings supported the idea that profitability depended on the moving-average rules and country chosen. Transaction costs did not affect the returns obtained using different trading rules. Originality/value This work facilitates future evaluation of accounting disclosure environments as well as the market efficiency and the performance of securities in the GCC countries. The performance of moving average rules among representative countries that share similar characteristics was analyzed. Different market participants, including investors, analysts and regulators, can benefit from this study for decision-making. These results suggest that new regulations might be drafted that would improve the timeliness of accounting information and the banks’ level of efficiency.


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