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The purpose of this paper is to examine the impact of changes in the exchange rate on long-term investment decisions of Indian manufacturing firms at the sector level.

The study is undertaken on a sample of 1,222 firms from six key manufacturing sectors of Indian economy during the period 2000-2016. The non-linear relationship between real exchange rate and long-term investment is studied using the two-step generalized model of moments estimator.

The study finds a concave (i.e. inverted U-shaped) relationship between the long-term investment and real exchange rate, particularly in case of chemical, construction, machinery and textile sector, in particular, and Indian manufacturing industry as a whole. It implies that investments in these sectors increase with depreciation of real exchange rate up to a point of inflection and subsequent to which it starts decreasing if exchange rate continues to depreciate further. But consumer goods and metal product sectors ensure a convex pattern, which demonstrates that investment is decreasing at the initial stage of depreciation of the exchange rate. The study moves one-step forward in validating this nexus between investment and exchange rate with respect to the price-cost margin and the extent of financial flexibility of firms. It is found that high price cost margin and financial flexibility moderates the adverse impact of exchange rate depreciation and immunizes the long-term investments in the scenario of a weak domestic currency and induce long-term investments.

The study measures the impact of exchange rate changes, but the impact of exchange rate volatility on investment has not been studied, which is absolutely different with different implications.

The study provides a clear guideline to firm managers for using the exchange rate movements in a favorable manner. The findings can be used to ensure sustainable long-term investments with respect to the core competence of firms in terms of price cost margin and financial flexibility at sector level of Indian manufacturing firms.

The study analyzes the non-linear relationship between exchange rate changes and long-term investment behavior of manufacturing firms from six key sectors of India. Further, the study moves one step forward to analyze this nexus under different scenarios of financial flexibility and price cost margin using dynamic panel models.

The purpose of this paper is to examine the level of compliance with International Financial Reporting Standards (IFRS 7) by listed companies in Bahrain Bourse (BB).

First, the authors design disclosure compliance checklist of ten requirements of IFRS 7. Second, a score of 3 is assigned if high level of compliance, 2 is assigned if medium level of compliance, 1 is assigned if low level of compliance. The sample of the study comprises of (21) companies listed in BB for year 2013.

The main findings are, the level of compliance varied by industry and the highest level of compliance reported for the investment sector whereas the lowest for the insurance industry. This result indicates that all listed companies are complying with IFRS 7 in terms of the standard disclosure requirements.

In this paper attempt has been made to support the argument of previous studies. The paper attempts to test and answer the research question; does the financial sector in Bahrain comply with IFRS 7? These results could lead to high level of awareness about the financial instruments. Adoption of the IFRS 7 could lead to high level of compliance and play a significant role in attracting global investors’ interest to the local markets, especially in a developing country like Bahrain.

This paper provides an insight from the reality of the financial market in Bahrain as a result of answering this question; does the financial sector in Bahrain comply with IFRS 7?

This paper examines the transformation of Syrian political economy from 1970 until 2005. I argue that Syria has undergone two important phases of political and economic transformation, from building a centralized state and economy in the early 1970s to embarking on the path of market economy in the early 1990s. With the logic of competitiveness guiding the direction of economic development, the socio-economic changes of the mid-1980s and after have corresponded with an important process of class and state formation. After a brief discussion of the current transition in Syria, the following sections of the paper attempt to provide a critical study of the different strategies for economic development. Section two examines the process of state and economic centralization of the 1970s and 1980s and highlights the contradictions of this period. Section three assesses the impact of economic liberalization through a study of competitiveness in the economic policies of the 1990s and 2000. The final section examines the economic and political impasse that Syria has been faced with. In conclusion, I argue that the current path of market economy as the strategy for capital accumulation has not resolved the socio-economic problems that Syria has faced in the last two decades. This strategy will continue to face contestation by marginalized groups such as factions of the Baath Party, landless peasants, workers and small producers as Syria becomes even more integrated into the regional and global economy.

The purpose of this paper is to document and compare the characteristics of two student-managed investment funds at the University.

This study uses a case study approach to achieve this purpose.

Consistent with other studies, this study finds considerable differences in funding, oversight and the structure of the courses in which the students manage the portfolios. This is the case even though the portfolios are managed by students in courses offered by the same department at the same university.

This study presents different possible ways of obtaining funds and structuring courses in which the students manage investment portfolios.

The purpose of this paper is to investigate the interrelationships amongst the sector‐specific indices of the Qatar Exchange (QE) (i.e. Banking and Financial Institutions (BFI), Industrial (IND), Insurance (INS), and Services (SER)). More specifically, three key issues are explored in this study. First, the long‐run relationships amongst the sectors. Second, the short‐run causal relationships amongst them; and third, the relative degree of endogeneity/exogeneity of each sector.

To address the issues of interest, the author employs the econometric analyses of Johansen's multivariate cointegration, Granger's causality, and generalized forecast error variance decomposition. This battery of techniques gives the opportunity to examine the nature of both long‐ and short‐run intersectoral relationships in the QE. To augment the robustness of the empirical analysis, daily as well as weekly closing stock price indices for the four sectors of the Qatar Exchange are used, spanning the period from January 2, 2008 up to April 7, 2011.

Based on daily and weekly data, the results of Johansen's multivariate cointegration analysis suggest that the four sector indices of the QE share a long‐term equilibrium relationship. The Granger's causality analysis based on daily and weekly datasets provides clear evidence that the BFI sector seems to be a significant causal factor in regard to the price predictability of the remaining sectors in the short run, and that the SER sector surprisingly seems to have the least influential role. Finally, the results of the generalized forecast error variance decomposition analysis using daily data show that the IND and BFI appear to be the most exogenous sectors, whereas the SER and INS are the most endogenous ones. The results based on weekly data confirm the relative exogeneity of the BFI sector and the relative endogeneity of the SER sector.

The findings of this study hold practical implications for individual and institutional investors alike. The potential gains derived from cross‐sector diversification could be rather limited, given the significant degree of interrelationships found amongst the sector indices of the QE. Moreover, the composition of domestic portfolios based on sector‐level investments should be revisited, particularly after major events. The findings also bring some important insights for policymakers. Given the influential role played by the BFI sector in the Qatari economy, policymakers should design appropriate strategies that curb the spread of unanticipated shocks originating from this sector to its counterparts. Besides, due to the considerable degree of endogeneity of the SER sector, it is essential for policymakers to set up precautionary regulations, with the aim of minimizing its vulnerability to common shocks in turbulent times.

Building upon the extant research and focusing on a relatively unexplored market, the paper represents a pioneer attempt to provide empirical evidence on the interdependence structure amongst the sector‐specific indices of the Qatar Exchange.

The purpose of the study is to investigate the correlation between credit supply to government and credit supply to the private sector to determine whether there is a crowding-out or crowding-in effect of credit supply to government on credit supply to the private sector.

The study used data from 43 countries during the 1980–2019 period. The study employed the Pearson correlation methodology to analyze the data.

There is a significant positive correlation between credit supply to government and credit supply to the private sector. There is also a significant positive relationship between credit supply to government and credit supply to the private sector, implying a crowding-in effect of government borrowing on private sector borrowing. The positive correlation between credit supply to government and credit supply to the private sector by banks is stronger and highly significant in the period before the Great Recession, while the positive correlation is weaker and less significant during the Great Recession, and the correlation further weakens after the Great Recession. The regional analyses show that the positive correlation between credit supply to government and credit supply to the private sector by banks is stronger and highly significant in the African region than in the Asian region and the region of the Americas.

There is no evidence on the correlation between credit supply to government and credit supply to the private sector during the Great Recession.

The purpose of this paper is to investigate the impact of organizational size on adoption of green supply chain management (GSCM) practices for the Indian industry. It also evaluates the impact of GSCM practices on organizational performance.

This study aims to empirically test the GSCM model to investigate the present orientation of the Indian industry toward GSCM practices using a pre-tested structured questionnaire. The statistical inferences were drawn using the data provided by 161 Indian firms. This has compared the GSCM practice implementations among small-sized, medium-sized and large-sized organizations.

The study reveals that Indian organizations have shown a satisfactory implementation of majority of the environmental practices, except supplier ISO:14001 certification and Tier-II supplier evaluation. Out of 21 practices, medium-sized organizations have adopted GSCM practices at a similar level compared with large organizations, with three exceptions: existing environmental management systems, support from mid-level and top management and supplier evaluation for environmental practice. It was found that GSCM adoption can lead to equal improvements in operational performance for both large-size and medium-size organizations.

This paper makes two major contributions in the domain of green supply chain practices in India. First, it investigates the adoption of GSCM practices in organizations of different sizes (small, medium and large) and the impact of GSCM practices on the performance of organizations of different sizes. Second, it identifies the key areas for improvement and recommends a set of measures for improving the implementation of GSCM practices in Indian organizations.

This study aims to generalize the following result of McDonald and Siegel (1986) on optimal investment: it is optimal for an investor to invest when project cash flows exceed a certain threshold. This study presents other results that refine or extend this one by integrating timing flexibility and changes in cash flows with time-varying transition probabilities for regime switching. This study emphasizes that optimal thresholds are either overvalued or undervalued in the absence of time-varying transition probabilities. Accordingly, the stochastic nature of transition probabilities has important implications to the search for optimal timing of investment.

Although Agtech firms have promoted digital platforms for retailing farm supplies (RFS), farmers are sceptical while purchasing them online. As a result, they struggle to generate a sustained demand. Among other approaches, these platforms onboard complementors to become full-stack farming solution providers. Whether platform complementarity can induce farmers' trust remains ambiguous. Literature on network externality theory highlights that complementarity positively affects the perceived value for buyers. The sociotechnical systems literature indicates that perceived value is an antecedent of user trust. In this vein, the authors ask: Does perceived complementarity affect farmers' trust in the RFS platform? Alternatively, the Agtech firms augment the platform's look and feel to make the digital retail setting appear “normal” to farmers. The extant research on the social cognitive theory indicates that a retail setting conforming with the generalised expectancy of buyers harbours their trust. Against this backdrop, the authors ask whether situational normality affects farmers' trust in the RFS platform.

The study is based on a questionnaire survey of 212 Indian farmers using RFS platforms. The data were analysed using structural equation modelling (SEM) analysis.

This study establishes that platforms' complementarity and situational normality ameliorate farmer trust. The authors also identify the socioeconomic factors shaping the farmers' trust in platforms.

The present study has taken all RFS together as a single umbrella category, which can be considered a limitation. Also, the study is based on the cross-sectional survey of RFS platform users; the farmers' attitudes are dynamic in nature and evolve over time; however, the temporal factors shaping the farmer attitudes have not been considered in this study.

The study establishes the epistemological relationship between complementarity, situational normality and farmers' trust in agricultural platforms.