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Drawing upon the social exchange and psychological capital literature and applying a multilevel perspective, this paper examines how personal and organizational factors contribute to expatriates' adjustment and performance of international assignments in a terrorism-induced risky environment.

Data were collected using a non-probability sampling approach (e.g. purposive and subsequent snowball sampling). The authors tested the hypotheses using survey data of 138 expatriates with current international assignments in Pakistan.

Expatriates' perceived organizational and risk-taking propensity influences their performance through improved adjustment. Moderating effects suggest that an individual's satisfaction with the received organizational rewards strengthens the risk-taking propensity to adjustment relationship; resilience strengthens the adjustment to performance relationship.

This study extends existing expatriation literature by focusing on a specific type of risk factor pertinent to international assignments, i.e. terrorism. Integrating individual and organizational factors that influence adjustment and subsequent performance provides a clear picture rather if such factors are operationalized separately in the terrorism-induced risky environment context.

The purpose of this study is to investigate the impact of leverage, regulatory capital and tier-I capital ratios on the ex ante and ex post risk of Japanese banks.

To test the hypotheses, the authors have implemented a panel of 507 commercial and cooperative banks of Japan over the period extending from 2001 to 2020, using a two-step system Generalized Method of Moments (GMM) framework.

The overall sample banks' results show that the impact of leverage, regulatory capital and tier-I capital ratios on ex ante and ex post risk is positive. The findings reveal that the effects of regulatory and tier-I capital ratios on ex post risk are negative (positive) for commercial (cooperative) banks, high-liquid, low-liquid and high-growth banks in Japan. In addition, the regulatory capital ratio is more beneficial for risk due to its power to absorb losses. The lagged coefficient indicates that banks require more time to adjust their ex post and ex ante risk during crisis period than during normal economic conditions.

The heterogeneity in results has practical implications for regulators, policymakers and bank managers in formulating the capital requirement guidelines with respect to ex ante and ex post risk across different categories and characteristics of banks.

To the best of the authors' knowledge, this is the first study investigating the impact of leverage, regulatory capital and tier-I capital ratios on the ex ante and ex-post risk of Japanese commercial and cooperative banks over the period from 2001 to 2020. The insights into the impact of leverage, regulatory capital and tier-I capital ratios on the ex ante and ex post risk of well-capitalized, under-capitalized, high and low-liquid banks are new in the context of Japan.

Following the United Kingdom's (UK) withdrawal from the European Union (EU), there is uncertainty in the financial services industry on equivalence of regulatory regimes. This also affects the insurance industry. As of now, it is not clear if the UK’s supervisory regime (“Solvency UK”) will be classified as equivalent to the European Solvency II supervisory regime. After no equivalence decision was taken during the Brexit transition period and there are efforts by the UK in the form of the UK Solvency II Review and the Financial Services and Markets Bill to adapt Solvency II more to the characteristics of the national insurance market, the uncertainties are intensified. Although Solvency II non-equivalence would have a significant impact on insurance groups operating in both the UK and the EU, there has been no detailed analysis of whether these initiatives could have an impact on a future Solvency II equivalence decision. The purpose of this paper is to address and close this research gap with a literature review and a subsequent equivalence mapping and discussion.

Based on the literature review methodology, this paper draws on academic sources as well as publications from governments and regulators, articles from consultancies and subject matter experts and uses this literature to provide an overview of the current state of research on equivalence in the wider financial services industry, but specifically on Solvency II equivalence, the UK Solvency II Review and the Financial Services and Markets Bill. Based on this literature review, the paper also forms the basis for an innovative and forward-looking Solvency II equivalence mapping and discussion.

Several articles state that differences between Solvency II and Solvency UK could harm a future Solvency II equivalence decision. The UK Solvency II Review and the Financial Services and Markets Bill are two initiatives that support the objective of aligning the Solvency II supervisory regime more closely with the circumstances of the UK insurance market. Although both initiatives contribute to the fact that Solvency UK differs in parts from Solvency II, based on the literature review and the subsequent equivalence mapping and discussion, there are currently no reforms that should harm future Solvency II equivalence decisions.

This paper provides a previously non-existent overview of equivalence in the wider financial services industry, but specifically on Solvency II equivalence, the UK Solvency II Review and the Financial Services and Markets Bill, and brings them together in an innovative equivalence discussion. It thus presents the current state of knowledge on Solvency II after Brexit and develops it further around a mapping against the equivalence criteria. As non-equivalence could have significant implications for insurance groups operating in both the UK and the EU, this paper is a useful and practical study that provides a previously non-existent equivalence mapping and discussion based on current initiatives and publications. It thus closes the research gap identified and reduces uncertainties in the insurance industry and can be used as a blueprint for detailed and forward-looking equivalence mappings and discussions for the wider financial services industry.

Building a smart city is a necessary path to achieve sustainable urban development. Smart city public–private partnership (PPP) project is a necessary measure to build a smart city. Since there are many participants in smart city PPP projects, there are problems such as uneven distribution of risks; therefore, in order to ensure the normal construction and operation of the project, the reasonable sharing of risks among the participants becomes an urgent problem to be solved. In order to make each participant clearly understand the risk sharing of smart city PPP projects, this paper aims to establish a scientific and practical risk sharing model.

This paper uses the literature review method and the Delphi method to construct a risk index system for smart city PPP projects and then calculates the objective and subjective weights of each risk index through the Entropy Weight (EW) and G1 methods, respectively, and uses the combined assignment method to find the comprehensive weights. Considering the nature of the risk sharing problem, this paper constructs a risk sharing model for smart city PPP projects by initially sharing the risks of smart city PPP projects through Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to determine the independently borne risks and the jointly borne risks and then determines the sharing ratio of the jointly borne risks based on utility theory.

Finally, this paper verifies the applicability and feasibility of the risk-sharing model through empirical analysis, using the smart city of Suzhou Industrial Park as a research case. It is hoped that this study can provide a useful reference for the risk sharing of PPP projects in smart cities.

In this paper, the authors calculate the portfolio assignment by EW-G1 and construct a risk-sharing model by TOPSIS-Utility Theory (UT), which is applied for the first time in the study of risk sharing in smart cities.

The purpose of this paper is to investigate the current capital budgeting practices in Bangladeshi listed companies and provide a normative framework (guidelines) for practitioners.

Data were collected with a structured questionnaire survey taking from the chief financial officers (CFOs) of companies listed in the Dhaka Stock Exchange in Bangladesh. Garnered data were then analyzed using descriptive and inferential statistical techniques.

The results found that net present value was the most prevalent capital budgeting method, followed closely by internal rate of return and payback period. Similarly, the weighted average cost of capital was found to be the widely used method for calculating cost of capital. Further, results also revealed that CFOs adjust their risk factor using discount rate.

The findings of this study might help the firms, policymakers and practitioners to take a wise decision while evaluating investment projects. Additionally, this study’s findings enrich the existing body of knowledge in the field of capital budgeting practices by providing more reliable and comprehensive analysis taking samples from a developing economy.

The purpose of this study is to measure mutual funds' manager performance by attributing it to their abilities to choose better securities (selectivity effect) and to allocate these securities better than their benchmarks (allocation effect). The study enables the authors to examine the relative contributions of the commonly known asset-pricing factors in mutual funds' performance.

To examine managers' ability to steer funds' returns, the authors conduct a two-dimensional holdings-based analysis using factor-specific decomposition of funds' excess returns into their ability to select and allocate securities better than their benchmarks. Subsequently, the authors conduct an analysis of the covariance (ANCOVA) due to these factors in explaining funds' excess returns over time.

While managers' ability to choose better securities than the benchmarks (the selectivity effect) appears modest, some funds (especially the winners) allocate securities in their portfolios better than their benchmarks (the allocation effect) based on their exposures to certain factors (e.g. the momentum factor for the winner funds). However, although funds consistently gain through their ability to predict the size and value factors well, they do not consistently possess the skills to predict the momentum factor.

Although the paper analyzes all the available diversified funds, the sample excludes several other categories, such as thematic and international funds. Further, the analysis is based on equity-oriented Indian funds. Broader studies of changes in factor exposures and the inclusion of more factors apart from those conventionally used may shed more light on the managers' ability to maneuver these factors.

The results show that mutual fund managers lack persistence in their performance, even though some of them could predict specific factors well. Since the activity in active mutual funds could not lead to superior performance over time, investors could be better off by selecting cheaper passive funds for their long-term investments.

The paper presents a novel approach to studying funds' performance by conducting a two-dimensional holdings-based analysis to capture the relative contributions of common asset-pricing factors in the cross-section as well as over time.

Recognizing the severity of COVID-19 on the US economy, the authors investigate the behavior of US-listed firms towards leverage speed of adjustment (SOA) during the pandemic. While prior evidence (based on an international study) shows that firm leverage increased during the pandemic leading to a higher SOA toward leverage ratios, leverage for US firms during the same period reduced drastically. Yet there is a dearth of empirical studies on the behavior of US-listed firms' SOA during the pandemic. The authors fill this void.

The study includes US-listed non-financial and non-utility firms for the period 2015Q1-2021Q4, covering a total sample of 45,213 firm-quarter observations. The authors’ empirical strategy is based on the generalized method of moments (GMM) and firm-fixed effect methodology, controlling for firm- and quarter-fixed effects.

Three main findings are established: (1) while the SOA toward book target increased during the pandemic, SOA toward market target increased significantly only for less valued and cash-constrained firms; (2) firms in states most impacted by the pandemic adjusted faster towards target ratio; and (3) while the emergence of the pandemic and the overall firm-level risk increased (decreased) the deviation from book (market) target, firm-level risk partially mediated the effect of the pandemic on how far firms deviated from target ratio.

This study enhances our understanding of leverage adjustment during the crisis and shows that risk avoidance motive and the market value of firms are key determinants of convergence rate during the crisis and further demonstrates that market leverage is more sensitive to market dynamics. As such, caution must be taken when dealing with and interpreting market leverage SOA.

Although prior evidence based on international study provides insights into how firms behave toward their leverage ratios because of the pandemic, little is known about how US firms react to the pandemic in terms of the target ratios, particularly (1) since the USA is one of the severely affected countries and (2) firms in the USA reduced their leverage ratios as against what prior evidence shows. The authors provide evidence to explain how and why US firms reacted toward their SOA during the pandemic.

This study aims to understand how quickly Japanese banks readjust their capital ratios (leverage, regulatory capital, tier-I capital and common equity) following an economic shock.

This study uses a two-step system GMM framework to test the study's hypotheses using the annual data of Japanese commercial and cooperative banks ranging from 2005 to 2020.

The findings show that banks adjust their leverage ratio faster than regulatory capital, tier-I capital and common equity ratios. In addition to that, the results reveal that the speed of capital adjustment is higher for commercial banks than for cooperative banks, suggesting higher economic costs and implications for commercial banks. Furthermore, it is worth noting that well-capitalised (under-capitalised) banks tend to prioritise the adjustments to common equity (leverage) before considering the adjustments to leverage (common equity). According to the results, high-liquid (low-liquid) banks alter their regulatory capital and tier-I capital ratios (leverage) more quickly (more slowly) than low-liquid (high-liquid) banks.

The findings suggest that when formulating and implementing new banking regulations, particularly in assessing and adjusting specific capital requirements under Pillar II of Basel III, management (including bankers, regulators and policymakers) should consider the heterogeneity observed in the rate of capital adjustment across various bank characteristics. Additionally, bank managers should also consider the speed of adjustment when determining optimal half-life and target capital structures.

To the author's knowledge, this study represents a pioneering investigation into the rate of adjustment of capital ratios (leverage, regulatory, tier-I and common equity) within Japan's banking sector. The study employs a comprehensive dataset encompassing both commercial and cooperative banks to facilitate this analysis. A notable contribution to the existing body of literature, this study offers a detailed analysis and emphasises the varying degrees of adjustment in capital ratios. The study also highlights the heterogeneous nature of the adjustment rate in these ratios by categorising the data into well-capitalised, under-capitalised, highly liquid and low-liquid banks.

This study aims to reconstruct how smallholder farmers implement livelihood adaptation strategies to survive and escape poverty, thereby mitigating or eliminating potential livelihood risks by utilizing their available assets.

This research employed a qualitative approach. For the collection of primary data, the researcher conducted observations and in-depth interviews and engaged with the lives of smallholder farmers during the data collection period.

Among the various livelihood adaptation strategies, only migration and profit-sharing strategies enable smallholder farmers to escape poverty. However, migration is an unsustainable adaptation strategy. When farmers move to new locations, they often resort to slash-and-burn methods for clearing land, which can lead to forest degradation and deforestation. Profit sharing is a sustainable livelihood adaptation strategy that falls into a different category. This approach can lift farmers out of poverty, increase their income and have no negative environmental impact. Other adaptation strategies include adjustments to traditional agriculture, both on and off-farm diversification, involving the family in income generation, reducing farming costs, practicing frugality in post-harvest processes, converting land from coffee cultivation to other crops and borrowing money and selling owned assets. Smallholder farmers implement these strategies to survive the existing economic conditions.

The profit-sharing strategy was a novel livelihood adaptation approach that previous studies had yet to uncover at the research site. In this strategy, farmers assume the roles of both managers and laborers simultaneously during farming, while toke (the capital owners) play the role of farming funders. The generated profit is then shared between farmers and toke based on the agreement established at the outset of their collaboration.