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This paper aims to seek answers to a primary question: “How much do divergent leverage factors account for fluctuations in time-varying financial leverage in leading hospitality sub-sectors decomposed by four exclusive sub-portfolios?” In the path of seeking answers, this paper investigated the effects of both firm-specific and macroeconomic indicators to firms’ varying financial leverage in those primary sub-sectors overtime.

In each sub-sector portfolios, firms were sorted based on market-to-book values (Mktbk _it ) with median breakpoint percentiles. For hypothesis testing, this paper constructed panel regression models with firm fixed-effects to layout fluctuant financial leverage phenomenon engaged with a set of 11 leverage factors in each Mktbk _it sorted sub-sector portfolios.

Results exhibited assorted evidences. The bottom line was: firms with different market capitalization rates in each portfolio acted differently in regard to the magnitude of financial leverage across time.

The final sample of 415 firms in four sub-sector portfolios sufficiently embraced financial leverage composition in the hospitality industry across time. However, by reason of lack of data in the other intra-hospitality industries, such as gaming and/or cruise lines, findings did not represent the firms operated in those sub-industries.

This paper departed from the established context of the previous literature in the manner that it expects to add to the literature by demonstrating the core drivers causing the deviations in financial structure in four exclusive, hospitality industry sub-sector portfolios with varying leverage proxies overtime.

Points out that the decline in international economic differentials makes country effects less important and sector effects more important in managing equity funds; but that there is little research on sector and sub‐sector specific risks. Presents a study of sector and sub‐sector volatility in the UK 1967‐2000, explains the methodology, plots the lagged 12‐month moving average of the annualized standard deviation for market, sector and sub‐sector returns; and relates it to economic events and the US pattern. Analyses further and finds that most of the time series variation in total variance is due to changes in market and sub‐sector variance. Compares the volatility of individual sectors and discusses the implications for portfolio risk and diversification. Considers consistency with other research, the underlying reasons for the findings and opportunities for further research.

Optimization of energy planning for growth and sustainable development has become very important in the context of climate change mitigation imperatives in developing countries. Existing models do not capture developing country realities adequately. The purpose of this paper is to conceptualizes a framework for energy strategy optimization of the Indian energy sector, which can be applied in all emerging economies.

Hierarchical multi‐objective policy optimization methodology adopts a policy‐centric approach and groups the energy strategies into multi‐level portfolios based on convergence of objectives appropriate to each level. This arrangement facilitates application of the optimality principle of dynamic programming. Synchronised optimization of strategies with respect to the common objectives at each level results in optimal policy portfolios.

The reductionist policy‐centric approach to complex energy economy modelling, facilitated by the dynamic programming methodology, is most suitable for policy optimization in the context of a developing country. Barriers to project implementation and cost risks are critical features of developing countries which are captured in the framework in the form of a comprehensive risk barrier index. Genetic algorithms are suitable for optimization of the first level objectives, while the efficiency approach, using restricted weight stochastic data envelopment analysis, is appropriate for higher levels of the objective hierarchy.

The methodology has been designed for application to the energy sector planning for India's 12th Five Year Plan for which the objectives of faster growth, better inclusion, energy security and sustainability have been identified. The conceptual framework combines, within the policy domain, the bottom‐up and top‐down processes to form a hybrid modelling approach yielding optimal outcomes, transparent and convincing to the policy makers. The research findings have substantial implications for transition management to a sustainable energy framework.

The methodology is general in nature and can be employed in all sectors of the economy. It is especially suited to policy design in developing countries with the ground realities factored into the model as project barriers. It offers modularity and flexibility in implementation and can accommodate all the key strategies from diverse sectors along with multiple objectives in the policy optimization process. It enables adoption of an evidence‐based and transparent approach to policy making. The research findings have substantial value for transition management to a sustainable energy framework in developing countries.

This study aims to examine the impact and contribution of priority and non-priority sectors, as well as their sub-sectors, on the gross non-performing assets of public, private and foreign sector banks.

The Reserve Bank of India's database on the Indian economy is used to retrieve data over 13 years (2008–2021). Public sector (12), private sector (22) and foreign sector (44) banks are represented in the sample. Two-way ANOVA, multiple regression and panel regression statistical techniques are used in SPSS and EViews to examine the data. Further, the results are also validated by using robustness testing by applying the fully modified ordinary least square (FMOLS) and dynamic least square (DOLS) regression.

The results showed that, for private and foreign banks, the non-priority sector makes up the majority of the total gross non-performing assets, although both the priority and non-priority sectors are substantial for public sector banks. The largest contributors to the total gross non-performing assets in public, private and foreign banks are industries, agriculture and micro and small businesses. The FMOLS displays robustness results that are qualitatively similar to the baseline result.

Based on the study's findings about the patterns of non-performing assets originating from these specific industries, banks might improve the way in which these advanced loans are managed.

There has not been much research done on the subject of sub-sector-specific non-performing assets and how they affect total gross non-performing assets across the three sector banks. The study's primary focus will be on the issue of non-performing assets in the priority’s and non-priority’s sub-sectors, namely, agricultural, micro and small businesses, food credit, industries, services, retail loans and other priority and non-priority sectors.

Motivated by the debate on the patterns and sources of commodity futures returns, this paper investigates the performance of three investment trading strategies, namely, the momentum strategy of Jegadeesh and Titman (1993), the 52-week high momentum strategy of George and Hwang (2004) and the pairs trading strategy of Gatev et al. (2006) in the commodity futures market.

The three strategies are those given by Jegadeesh and Titman (1993), George and Hwang (2004) and Gatev et al. (2006), respectively.

The authors find that there is no significant reversal profit across 189 formation-holding windows for all the three strategies. However, there are statistical and economically significant momentum profits, and the profitability increases with the rising of formation-holding periods. Momentum returns are quite sensitive to market conditions but the crash of momentum returns is partly predictable. Return seasonality, risk and herding also provide partial explanation of the momentum profits.

The authors are the first to compare the performances of the pairs trading strategy of Gatev et al. (2006), the conventional momentum of Jegadeesh and Titman (1993), and the 52-week high momentum of George and Hwang (2004) under 189 formation-holding windows. Also, the authors are the first to investigate the association between herding behaviour and momentum returns in the commodity futures market.

This paper aims to examine how various academic disciplines shape the field of event portfolio management. Given the complex nature of portfolios comprising different genres that are studied separately from their respective disciplinary realms, the academic event portfolio landscape remains fragmented. This is against the nature of portfolios, which requires inter-disciplinarity and novel integration of genres, stakeholders and perspectives.

Based on a scoping literature review, this conceptual paper sets up a common ground for the academic study and industrial development of event portfolio management.

A comprehensive view of event portfolio literature across disciplines reveals its hypostasis as a compound transdisciplinary field. The authors suggest a set of foundational premises whereby they identify 22 principal thematic areas that comprise this emerging field.

The establishment of event portfolio management as a distinct field will help in the osmosis and diffusion of new ideas, models and best practices to run and leverage portfolios. The portfolio perspective highlights the need for cohesive learning to design comprehensive systems of events, implement joint strategies, solidify social networks, coordinate multiple stakeholders and develop methods of holistic evaluation.

By examining comprehensively event portfolio management as a transdisciplinary field, the authors have been able to identify principal research directions and priorities. This comprehensive analysis provides a synergistic ground, which at this embryonic stage of development, can be used to set out joint trajectories and reciprocal foci across the whole span of scholarship studying planned series of events.

Borrowing from arguments of agency theory, the present study aims to investigate the moderating effect of the deviation from optimal franchising on the relationship between corporate governance provisions and firm financial performance.

The sample consists of 35 publicly listed US restaurant firms for the 1990-2008 period. The study uses a hierarchical regression with cross-sectional time-series fixed effects.

The results show that the deviation from optimal franchising worsens the negative relationship between corporate governance provisions and firm performance.

The availability of governance data restricts our sample to large publicly listed firms in the US restaurant industry, limiting the ability to generalize results for small and privately held restaurant firms.

Firm executives should not only pay attention to which corporate governance provisions they adopt but also strive to maintain an optimal level of franchising.

The key contribution of this study to governance literature is that this study demonstrates how the presence of multiple governance mechanisms influences firm performance.

As significant listed property investment vehicles, industrial and logistics REITs (I&L REITs) have recently enhanced their property portfolios, often replacing the traditional industrial properties with logistic properties to gain strategic exposure to recent e-commerce trends. This paper aims to assess the investment performance of I&L REITs by assessing the significance, risk-adjusted performance and portfolio diversification benefits of I&L REITs in the Pacific Rim region from July 2011 to December 2018. The strategic property investment implications for I&L REITs are also identified.

Monthly total returns from July 2011 to December 2018 were used to analyse the risk-adjusted performance and portfolio diversification benefits for I&L REITs in the United States, Japan, Australia and Singapore. An asset allocation diagram was employed to assess the strategic role of I&L REITs in a mixed-asset portfolio in each case.

I&L REITs generally possessed superior average annual returns compared with the other sub-sector REITs, stocks and bonds in the United States, Japan, Australia and Singapore between July 2011 and December 2018, with desirable portfolio diversification benefits. Importantly, a more significant role for I&L REITs was generally observed in the mixed-asset portfolio compared to the other sub-sector REITs in each of these four markets across the broad portfolio risk spectrum. This reflects I&L REITs delivering enhanced portfolio returns and offering portfolio diversification benefits in a mixed-asset portfolio in the United States, Japan, Australia and Singapore.

Property investors, particularly property securities funds (PSFs) and income-oriented investors, should consider including I&L REITs in their mixed-asset portfolios, as Pacific Rim–based I&L REITs provided an attractive REIT investment sub-sector, co-existing alongside the other sub-sector REITs and major asset classes in a mixed-asset portfolio in a Pacific Rim context, as well as being a portfolio diversifier. These results confirm the added-value and strategic role of I&L REITs in a mixed-asset portfolio, seeing I&L REITs as an effective investment pathway for I&L property exposure in the Pacific Rim region.

This is the first study to assess the investment performance of I&L REITs in the Pacific Rim region, evaluating their significance, risk-adjusted performance and portfolio diversification benefits, and the role of I&L REITs in a mixed-asset portfolio in the United States, Japan, Australia and Singapore. More importantly, this research is the first paper to provide empirical evidence on I&L REITs, which have often transformed their traditional industrial property portfolios with increased levels of logistics property to gain exposure to recent e-commerce trends. This research enables more informed and practical property investment decision-making regarding I&L REITs and their added-value and strategic role in a mixed-asset portfolio, as well as delivering effective I&L property exposure in the Pacific Rim region, with the added benefits of liquidity, transparency and fiscal efficiency.

The present study aims to identify the determinants of the capital structure of restaurants firms in Portugal, as well as to analyze the application of capital structure theories in those companies.

In order to reach the objectives, a sample of 400 companies belonging to the restaurant sector was used. The analysis was carried out between 2008 and 2017, and multiple linear regression, based on panel data, was applied.

The obtained results allowed to verify that the considered variables have different effects on the capital structure of the companies under study and that the restaurant sector partially applies the trade-off, pecking order and signaling theories.

This paper aims to find alternative explanations for the use of long-term debt in the US restaurant industry from a behavioral perspective. The three-fold purpose of the present study is to examine the impact of CEO overconfidence on the use of long-term debt; explore how CEO overconfidence moderates the relationship between growth opportunities and long-term debt; and analyze the moderating role of CEO overconfidence based on cash flow levels in the context of the restaurant industry.

Using a sample of publicly traded US restaurant firms between 1992 and 2015, this study used generalized methods of moments with instrumental variable technique to analyze the panel data.

The findings of this study highlight the importance of considering behavioral traits of CEOs, such as overconfidence to better understand the US restaurant firms’ financing behaviors. This study found that overconfident CEOs tend to use more long-term debt when firms have greater growth opportunities and low cash flow.

Given that psychological and behavioral features of CEOs are critical in understanding the variations in corporate financing decisions and capital structure, shareholders and boards of directors of growth-seeking restaurant firms should incorporate the behavioral aspects of overconfident CEOs in the design of long-term debt contracts to mitigate liquidation risk while developing compensation practices that encourage overconfident CEOs to finance growth.

Despite its heavy reliance on long-term debt in the US hospitality industry, prior studies provided mixed findings for the determinants of long-term debt. This study makes a contribution to the literature by offering alternative approaches to examining long-term debt decisions among US restaurant firms.