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Purpose The purpose of this paper is to investigate the effect of heuristic biases, namely, availability bias and representativeness bias on investors’ investment decisions in the Pakistan stock exchange, as well as the moderating role of long-term orientation. Design/methodology/approach Using a structured questionnaire, a total of 374 responses have been collected from individual investors trading in PSX. The relationship was tested by applying the partial least square structural equation model using SmartPLS 3.2.2. Further, Henseler and Chin’s (2010) product indicator approach for moderation analysis was applied to the data set. Findings The results revealed that availability bias and representativeness bias have a significant and positive influence on the investment decisions of investors. Furthermore, a significant moderating effect of long term orientation on the effect of representativeness bias on investment decision is observed. This suggests that investors’ long term orientation weaken the effect of representativeness bias on investment decision. However, no significant moderating effect was observed for availability bias. Originality/value The paper provides novel insights on the role of heuristic-driven biases on the investment decisions of individual investors in the stock market. Particularly, it enhanced the understanding of behavioral aspects of investment decision-making in an emerging market.

In recent years, the rapid and significant development of emerging markets has globally led to insight from potential investors and academicians seeking to assess these markets in terms of risk inheritance. Therefore, this study aims to explore the validity and applicability of the capital asset pricing model (henceforth CAPM) and multi-factor models, namely Fama–French models, in Pakistan’s stock market for the period of June 2010–June 2020. This study collects data on 173 non-financial firms listed on the Pakistan stock exchange, namely the KSE-100 index, and follows Fama-MacBeth’s regression methodology for empirical estimation. The empirical findings of this study conclude that small portfolios (small-size companies) earn considerably higher returns than big portfolios (large-size companies). Ultimately, the risk associated with portfolio returns is reported to be higher for small portfolios (small-size companies) than for big portfolios (large-size companies). According to the regression output, the CAPM was found to be valid for explaining the market risk premium above the risk-free rate. Similarly, the FF three-factor model was found to be valid for explaining time-series variation in excess portfolio returns. Later, we added human capital into FF three- and five-factor models. This study found that the human capital base six-factor model outperformed the other competing asset pricing models. The findings of this study indicate that small portfolios (small-size companies) earn more returns than big portfolios (large-size companies) to reward the investor for taking extra risks. Investors may benefit by timing their investments to maximize stock returns. Company investment in human capital adds reliable information, replicates the value of the company and, in the long term, helps investors make rational decisions.

Dividend decision is one of the very crucial factors that have a bearing on the long-term value of a firm. According to the traditional approach, firms that pay larger dividends happen to have escalated share prices compared to those that pay lower or no dividends. There have been previous studies conducted to explore what factors make a firm pay or ignore paying dividends for a given year. However, no consensus has been achieved so far by the researchers as to what really determines a firm"s dividend payout decision. This study is an attempt to re-examine some of the very major considerations a firm takes into account while deciding about the declaration, or otherwise, of dividends. To serve the purpose, the required financial information was obtained from "Financial Statement Analysis" of Non-financial companies published by the State Bank of Pakistan. Sixty one (61) firms were included in the sample having thorough six year financial data ranging from 2006 to 2011 which led to a total of 366 firm-year observations. Results of the study showed that out of the factors analyzed, Liquidity and Profitability had a significant association with the dividend payout policy of firms in the sample. Hence, it may be concluded that the two mentioned factors are the major determinants of a firm"s dividend policy.

In present environment work load and stress at work is a significant and costly problem for various organization. On the other hand work force is considered the most valuable asset of an organization. One of the most important challenges for all the organization is on how to increase employees’ resistance level against job stress. The basic aim of the present research was to measure the effect of workload and job stress on employee turn over intention. The current study selected 245 respondents from various higher education institutions of Khyber pakhtunkhwa using stratified random sampling method. For the factorization of data exploratory and confirmatory factor analysis was done. The SEM technique was used to test hypotheses of the study with GFI, CFI, TLI, and RMSEA indices. The outcomes of the study show that workload and job-stress are correlated with employee turnover intention. Therefore, higher education institutions should develop appropriate strategies for the retention of their valuable employees.