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The study aims to understand the role of different streams of oil shocks (demand, supply and risk shocks) on the oil-importing and exporting countries' stock returns. The study also examines the impact of crude oil shocks across the economic regimes and market states. Besides, the role of the Global Financial Crisis (GFC) of 2008 in shaping the oil–stock relationship is also investigated.

The authors revisit the impact of oil shocks on emerging equity markets by using the novel shock decomposition algorithm proposed by Ready (2018). The authors consider 24 emerging equity markets for the period spanning over July 15, 2002, to June 18, 2018, and bifurcate them based on oil dependence. The authors use rolling and dynamic conditional correlation analysis to understand the time-varying co-movements between oil prices and stock returns. The regime and state-specific dependence of stock returns on the structural oil shocks are captured by the Markov regime switching and quantile regression models.

The authors find that the demand shocks are positively associated with stock markets, whereas the supply shocks are negatively related, except in some of the oil-exporting countries. The risk-based shocks also appear to have a negative association with stocks. The authors do not find evidence of strong regime dependence and the direction of relationship across the high and low regimes is somewhat stable. Further, the authors observe an intense oil–stock relationship in the bearish market conditions. Besides, the authors also report evidences of changes in oil–stock relationship onset the GFC.

This is among the first studies to use the oil shock decomposition algorithm of Ready (2018) in the context of emerging equity markets. Additionally, oil shocks' role on the stock market movements across the regimes and market states is studied comprehensively. Thus, the nature of oil shock and the extent to which the emerging markets are exposed is observed in this study.

The purpose of this paper is to study the co-movement and market integration dynamics of the emerging/frontier stock markets in South Asia (India, Pakistan and Sri Lanka) with a portfolio management perspective.

Scholars in the past have documented the limitation of standard econometric techniques such as co-integration analysis to capture this phenomenon. The other econometric technique widely used in integration and comovement literature is dynamic conditional correlation-generalized autoregressive conditional heteroskedasticity. This method captivates the time-varying correlations, although frequency information is absent. The wavelet-based analysis decomposes the time-series data in a time-frequency domain, which is largely useful to fund managers and policy makers. This study examines the regional integration in selected South Asian markets using wavelet analysis.

The results suggest some degree of market integration, however weak as compared to regional integrations in developed markets. Pakistan and India were found to be the potential leaders at varying time scales in the region. Weaker co-movement phenomena may offer ample arbitrage opportunities to investors in this region. In addition, the authors also find that the structure of correlation changes after some of the major macroeconomic events.

This study is among the first to examine co-movement and integration of stock returns in a time-frequency domain for South Asia. In addition, the authors also highlight weak integration in these markets, which may be beneficial for portfolio diversification.

The purpose of this study is to examine the influence of firm characteristics such as profitability, growth opportunities, size, leverage and maturity on dividend policy of Indian firms.

The study analyzes the determinants of dividend policy of manufacturing firms in India using panel data. Because of the non-linearity behaviour of dividend pay-out by firms, the study uses quantile regression method to examine whether the determinants of dividends vary depending on the company’s level of dividends.

Overall, the results show important difference between ordinary least square and quantile regression estimates and depict differential effect on dividend at different levels. The notable difference occurs because either the significance changes (e.g. for profitability and growth opportunities) or because the magnitude of coefficients changes (e.g. for size, profitability and growth opportunities).

This finding is useful in identifying the dividend issuing companies. Further, results of this study would be helpful to the mangers to manage their financial positions that subsequently help in retaining and attracting the probable investors.

The purpose of this paper is to examine the relationship of social capital with new venture creation, and whether self-efficacy plays a role in mediating the association between social capital and new venture creation.

Data were collected from 375 entrepreneurs through cross-sectional survey in India. The study used partial least square path modeling to assess the relationships among the variables.

Findings reveal that social capital is positively related to new venture creation. The association of social capital and new venture creation is fully mediated by entrepreneurs’ self-efficacy.

The role of social capital in the success of new venture creations through self-efficacy is useful to the potential entrepreneurs and people who facilitate new venture creation in Indian context.

This study aims to assess the risk profile of millennial investors residing in the Delhi NCR region. In addition, the relationship between the risk profile and demographic traits of millennial investors was also analyzed.

Data was collected using a structured questionnaire segregated into two sections. In the first section, millennials were asked questions on socio-demographic factors, and the second section contained ten Likert-type statements to cover the multidimensionality of financial risk. Factor analysis and one-way ANOVA were used to analyze the primary data collected for this study.

The findings indicate that the risk profile of millennials is mainly affected by three factors: risk-taking capacity, risk attitude and risk propensity. Except for educational qualification and occupation, all other demographic features, such as age, gender, marital status, income and family size, seem to significantly influence the factors defining millennials' risk profile.

Uncertainty is inherent in any financial decision, and an investor’s willingness to deal with these variations determines their investment risk profile. To make sound financial decisions, it is mandatory to understand one’s risk profile. The awareness of millennials' distinctive risk profile will come in handy to financial stakeholders because they account for one-third of India’s population, and their financial decisions will shape the financial world for the decades to come.

This study aims to investigate the effects of peers on corporate payout policies in one of the largest emerging markets – India. It also examines the motives for mimicking payout decisions.

The sample is composed of 3,024 non-financial and non-government firms listed on the National Stock Exchange (NSE) and Bombay Stock Exchange (BSE) for the period 1995 to 2020. To encounter the endogeneity problem, the instrumental variable technique based on peer firms' idiosyncratic risk is used to estimate the effects of peers on firms' payout policy. To define peer reference groups, the authors use the basic industry classification of the firms.

The results indicate a significant positive impact of peers on firms' dividend policies in India. A firm with all dividend-paying peers is more likely to declare dividends than the one with no dividend-paying peers. Further, peer effects are found to be more pronounced amongst larger and older firms, thus supporting the rivalry theory of mimicking.

To the best of the authors' knowledge, the present study is the first of its kind that attempts to understand peer effects on payout decisions in an emerging market India, that offers a unique institutional setting. Moreover, the authors extend the existing literature by investigating the peer effects on a firm's payout policies considering various firm-level characteristics, such as growth opportunity, cash holding, financial constraint and profitability, which previous studies have not taken into consideration. These results provide additional insights into the heterogeneity and motives behind peer effects.

The paper investigates the effect of corruption on corporate investment efficiency around the world.

The sample includes 218,350 observations from 30,074 firms across 42 countries. The authors measure corruption based on the Corruption Perception Index (CPI) from Transparency International, Corruption Control Index (CCI) from the World Bank and Corruption Index from the International Country Risk Guide.

The authors find that corruption is negatively related to investment efficiency. The robustness checks with different measures of corporate investment and alternative regression approaches show consistent findings. Moreover, the authors also find that the effect of corruption is stronger (weaker) in strong (weak) shareholder protection countries.

The paper has two important contributions to the literature. First, it shows that corruption environment is also a determinant of corporate investment efficiency. Second, legal protection of shareholders can mitigate the negative effect of corruption on corporate investment efficiency.

本研究擬探討世界各地貪污腐敗對企業投資效率的影響。

研究樣本涵蓋42個國家，30,074間公司，218,350個觀察。測量貪污腐敗的方法乃基於國際透明組織的腐敗感知指數、世界銀行的腐敗控制指數和國際國家風險指南的貪污指數。

研究結果顯示、貪污與投資效率成負相關。以企業投資的各種測量方法、以及用其他的回歸分析方法來進行的強度檢驗，均顯示一致的結果。而且，我們亦發現，在對股東的保障較大的國家，貪污所帶來的影響也會較大；同樣地、對股東的保障較小的國家，貪污的影響也相應會較輕微。

本研究對文獻有兩個重要的貢獻。首先，研究證明了貪污腐敗的環境亦是企業投資效率的決定因素；其次，研究亦證明給股東的法律保護會減低貪污對企業投資效率所帶來的負面影響。

Our study investigates the relationships between risk management systems (RMS), strategy and organizational performance. The existing research has extensively studied the effect of strategy on organizational performance. There is also a growing body of literature suggesting that RMS positively influence the achievement of organizational objectives. However, there are only a few conceptual papers (and no empirical evidence) on the relationship between strategy and RMS. We investigate whether different strategy types (defender, analyzer, prospector, and reactor) induce different levels of RMS development and, hence, affect performance indirectly, as well as directly. We use regression analysis and survey data to test the proposed relationships. Our results confirm the direct effects of strategy type and RMS development on performance. We confirm that prospectors perform better than defenders, analyzers, and reactors across five measures of performance (profitability, sales growth, market share, new product development, and customer satisfaction). We also find that companies with more developed RMS perform better in terms of non-financial performance (measured by new product development). Contrary to the prevailing evidence, we do not find significant results for financial performance. Moreover, our findings show that there is no mediating effect of RMS development in the relationship between strategy type and performance. This implies that RMS and strategy act as independent variables, each individually affecting organizational performance.

This paper aims to identify the variables responsible for classifying the investors into risk takers (RT) and risk avoiders (RA) across their economic perspectives.

The research offers a novel and unobtrusive measure of classifying investors into RT and RA based on a set of financial risk tolerance (FRT) questions. The authors have investigated the causes of discrimination across economic perspectives over a sample of 552 investors exposed to market risk.

The authors identify that out of the total of 11 risk assessment variables, only three are responsible for classifying investors into RA and RT. The variables are risk return trade-off, comfort level dealing with risk, and understanding short-term volatility. Financial literacy is considered as an emerging cause of discrimination. Further, the authors highlight the most striking finding to be the discriminating factors across wealth and source of income of the investors.

Existing research on FRT can be loosely segregated into three groups: the relationship between an individual's financial and non-FRT, estimation of FRT score (FRTS), and perceived self-assessed FRTS. The current research roughly falls into the third category of study where the authors have not only studied the self-assessed risk tolerance but also evaluated the predictors. Most of the studies have focussed on estimating self-assessed FRT with the help of one direct question to the respondent. However, the uniqueness of this study is that the researchers have used an instrument comprising a series of direct and indirect questions that can easily estimate the self-assessed risk perception and also discriminate the role of the economic factors that have any impact on self-assessed FRTS.

Some African policymakers have turned their attention towards electronic transaction levy (e-levy) to maximise tax revenues in recent years due to the inability to meet revenue targets. However, some argue that the implementation of an e-levy will increase the tax burden (TB) and the currency outside banks (COB). Primarily, this paper examined the effects of the TB and COB on economic development as well as the impact of institutional quality on moderating the nexus.

This paper used structural equation modelling (SEM) and maximum likelihood (ML) estimation techniques on quarterised data from 1996 to 2020.

The results show that the TB negatively impacts gross domestic product (GDP) per capita and urbanisation but positively affects the Economic Freedom of the World Index (EFWI). The COB impacts EFWI, GDP per capita and urbanisation positively. Institutional quality moderates the TB and the COB, establishing positive relationships with the economic development indicators.

The findings strongly imply that the arguments that TB and COB are catalysts for tax evasion and corruption lack substantial empirical evidence.

The examination of the econometric impact of the COB on economic development is one of the first studies in the field. The paper recommends that to drive economic development and accelerate sustainable development goals (SDGs) achievement, tax revenues should be channelled into the productive sectors of the Ghanaian economy.