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The purpose of this study is to examine the impacts of the Glasgow Climate Pact on global oil and gas sector stocks. Further, this study also examines if the nations' Climate Change Performance Index (CCPI) and World Energy Trilemma Index (WETI) drive the abnormal returns around the event.

The authors apply the event study analysis to 691 global oil and gas firms across 52 countries. Further, they apply the cross-sectional examination of cumulative abnormal returns (CARs) across 502 firms.

The emerging markets experienced significant negative abnormal returns on the event day. The CCPI negatively affects longer pre-event CARs, while WETI significantly negatively associates with CARs during longer pre- and post-event windows. Volatility is negatively related to pre- and post-event abnormal returns, while past returns positively drive pre-event period CARs but negatively drive post-event window CARs. This study finds an interesting association between liquidity (CACL) and CARs, as CACL positively drives pre-event CARs, but post-event CARs are negatively associated with CACL. The CARs do not significantly correlate with leverage, size and book-to-market ratio.

This study's findings on the impact of climate risks on financial markets have significant implications for global regulatory bodies. Policymakers should reduce stock volatility and enhance environmental disclosures by publicly traded companies to accurately price and assess the potential impacts of climate risks. Governments should examine the effects of environmental restrictions on investor behavior, especially in developing countries with limited access to capital. Therefore, policymakers need to consider the far-reaching impacts of environmental regulations while introducing them.

Climate risks are expected to impact the global financial market significantly. Prior studies provide limited evidence on how such climate pacts impact the oil and gas sector. Hence, this study, while bridging this gap, provides important implications for policymakers and stakeholders, particularly the emerging markets that are more sensitive.

Several theoretical and empirical studies have shown the significant effects of economic and environmental factors on a large number of financial indicators. In this paper the authors are going to study whether the main stock market index, is impacted by the variations of the exchange rate and the interest rates.

This paper studies the response of the index market return to fluctuations in the interest rate and the exchange rate in five countries from the MENA region (Tunisia, Morocco, Egypt, Turkey and Jordan). To investigate whether this impact exists, the authors used the non-linear autoregressive distributed lag (NARDL) model with daily data from June 1998 to June 2018.

The application of the non-linear ARDL model confirms the presence of cointegration between return index, interest rate and exchange rate. The results show that the asymmetry hypothesis is only valid for the short run which suggests that the market index is sensitive to the variation in the interest rate and exchange rate. This means that these macroeconomic factors play an important role in the MENA region stock markets.

The findings confirm that the index returns in the MENA region stock markets are related to macroeconomic fundamentals such as the exchange rate and the real interest rate. The reaction of some indices is sensitive to whether the shocks are positive or negative. This finding may help investors to choose their strategies starting from these changes. Accordingly, policy makers must pay attention to the development progress of stock market.

The purpose of this chapter is to cover banking efficiency using the concept of the Meta frontier function and to study group and subgroup differences in the production technology. This study estimates the technical efficiency (TE) and technology gap ratios (TGRs) for banks in Islamic countries. Using the assumption of the convex hull of the Meta frontier production set using the virtual Meta frontier within the nonparametric approach as presented by Battese and Rao (2002), Battese et al. (2004), and O'Donnell et al. (2007, 2008) and after relaxing this assumption, the study investigates if there is a significant difference between these two methods. To overcome the deterministic criterion addressed to nonparametric approach, the bootstrapping technique has been applied. The first part of this chapter covers the analytical framework necessary for the definition of a Meta frontier function and its estimation using nonparametric data envelopment analysis (DEA) in the case where we impose the assumption of the convex production set and follows in the case of relaxation of this assumption. Then we estimated the TE and the TGR in concave and nonconcave Meta frontier cases by applying the Bootstrap-DEA approach. The empirical part will be reserved for highlighting these methods on data bank to study the technical and technological performance level and prove if there is a difference between the two methods. Three groups of banks namely commercial, investment, and Islamic banks in 17 Islamic countries over a period of 16 years between 1996 and 2011 are used.

The purpose of this paper is to identify the variables that influence the international assignment – expatriate learning relationship and the expatriate learning – organizational learning relationship.

The paper contains a literature review of the research on expatriates' learning and organizational learning

The paper provides an integrative framework that identifies the moderating variables that influence both the relationship between the expatriate international assignment and expatriate learning as well as the relationship between expatriate learning and organizational learning. In addition, this framework specifies the process by which the international assignment influences organizational learning and shows that expatriate learning mediates this relationship. Several hypotheses were generated to provide avenues for future investigation.

The paper does not provide an exhaustive set of the moderating variables and does not focus on the interaction between situational and individual differences moderators.

Managers should pay attention to the selection, maintenance and repatriation of expatriates and facilitate the conditions under which expatriate learning and organizational learning can be maximized. To remain competitive, managers should engage in the continuous process of assessing the effectiveness of international assignments in enhancing expatriate and organizational learning.

The present research identifies the conditions that facilitate or hinder expatriate learning and organizational learning as well as the process by which international assignments influence organizational learning. Expatriate learning and organizational learning are critical for the continuous growth and competitive advantage of organizations, and, accordingly, it is imperative to study the factors and the process that influence learning in organizations, especially in response to the increasing popularity of globalization and the pressure to remain competitive.