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This article examines the informational content of credit default swap (CDS) net notional for future stock and CDS prices. Using the information on CDS contracts registered in DTCC, a clearinghouse, I construct CDS-to-debt ratios from net notional, that is, the sum of net positive positions of all market participants, and total outstanding debt issued by the reference entity. Unlike the ratio using the sum of all outstanding CDS contracts, this ratio directly indicates how much of debt is insured with CDS and therefore, is a natural measure of investors’ concern on a credit event of the reference entity. Empirically, I find crosssectional evidence that the current increase in CDS-to-debt ratios can predict a decrease in stock prices and an increase in CDS premia of the reference firms in the next week. Greater predictability for firms with investment grade credit ratings or low CDS-to-debt ratios suggests that investors pay more attention to firms in good credit conditions than those regarded as junk or already insured considerably with CDS.

This paper aims to examine the time-varying preferences for environment, social and corporate governance (ESG) investing in an emerging market. The investors seek ESG-conscious investments during a positive economic outlook, reflecting the time-varying nature of ESG demand. Specifically, the author shows that high-ESG stocks have negative abnormal returns during bad economic times but turn into positive abnormal returns in good economic times. The author also suggests that the alpha spread between high-ESG and low-ESG stocks is larger in good economic times than in bad times. Furthermore, individual investors prefer high ESG scoring stocks in good economic times. The author highlights that this ESG premium is shaped by economic projection and the households' financial wealth.

Stock markets are considered as the largest and most important units for the development and growth of the economy. The present study attempts to provide a comprehensive view of factors influencing investment decision making process of stock market investors. A multi group analysis of gender is also carried out on the proposed model.

The data of 402 valid responses are collected through structured questionnaires from individual investors of North India. SPSS 23 is used to do the descriptive analysis and AMOS 22 is used to establish the validity of the constructs and for hypotheses testing. For performing multi group analysis, several invariance tests have also been conducted to check the robustness of the model.

The results reveal that all the factors such as firm image, accounting information, neutral information, advocate recommendation and personal financial needs significantly influence investment decision making concluding image of the firm being the most influential factor and advocate recommendation being the least influential factor for investment decisions. No significant differences between males and females were found.

The current study suffers from the limitation of restricted geographical area of North India. Moreover, there is also a scope to incorporate more demographic factors for predicting investment decisions.

This study incorporates a range of factors which covers all the aspects of investment decision making. This study also highlights the notion of signaling theory, thus contributing to the limited literature in Indian context.

This paper investigates how outcomes-based performance management (PM) regimes operate in the partnerships known as social impact bonds (SIBs), which bring together partners from the public, private and third sectors. The findings are analysed in the light of the different cultural world views of the partners.

Published evaluations of 25 UK SIBs were analysed by a qualitative multiple case study approach. This study of secondary sources permitted the analysis of a wide range of SIB partnerships from near contemporary accounts.

Outcomes frameworks led to rigorous PM regimes that brought the cultural differences between partners into focus. While partnerships benefitted from the variety of viewpoints and expertise, the differences in outlook simultaneously led to strains and tensions. In order to mitigate such tensions, some stakeholders conformed to the outlooks of others.

The need to achieve a predefined set of payable outcomes embeds a “linear” view of intervention and effect on the SIB partners and a performance regime in which some partners dominate. In designing accountability systems for partnerships such as SIBs, commissioners should consider how the performance regime will affect the interests of all stakeholders.

This study adds to the cultural theory literature which has rarely considered three-way partnerships embodying hierarchical, individualist and egalitarian world views and how performance regimes operate in such partnerships. Three-way partnerships are thought to be rare and short-lived, but this empirical study shows that they can be successful albeit over a predefined lifespan.

In the European Union, the Undertakings for Collective Investment in Transferable Securities Directive (UCITS IV) requires fund management companies to provide a Key Investor Information Document (UCITS KIID) for investors. This papers uses archival data from the Finnish mutual fund market to test how the regulation's information disclosure requirements concerning past performance, risk and fund fees are associated with mutual fund flows.

The study uses archival data on the mutual funds market in Finland to test how the regulation relating to retail investors' information requirements is associated with mutual fund flows.

Our findings suggest that the UCITS KIID predicts retail investors' fund flows. While past performance is associated with fund flows throughout the observation period, retail investors appear to have become more sensitive to fund fees and invest in less risky funds following the adoption of the UCITS IV period.

Information relating to fund fees and risk appears to be relevant to retail investors, which should be acknowledged in future iterations of short-form disclosure and in mutual fund marketing.

This paper is the first to assess the significance of KIID in actual market environment.

This paper aims to explore the dynamic relationship between ESG scores and REITS returns. The overarching goal is to provide a better understanding of how ESG considerations impact financial performance across different temporal contexts.

Using a sample of 175 European Equity REITs, this analysis combines numerical ESG scores with the Fama-French model, employing both random and fixed effects methods. It integrates individual REIT data and the HESGL (High ESG Scores Minus Low ESG Scores) factors to assess their impact on REIT returns.

The findings highlight divergent patterns between the numerical ESG score and the HESGL factor concerning REIT returns. While the numerical ESG score displays a negative impact in later periods, the HESGL factor demonstrates a positive effect during prosperous times but loses significance during crises.

This research contributes original insights by emphasizing the importance of temporal segmentation in understanding the nuanced and evolving nature of the relationship between ESG scores and REITs’ returns. The study provides a comprehensive analysis and highlights divergent outcomes that are essential for a better interpretation of ESG impacts on real estate investments.

Inspired by the groundbreaking novel European regulations on financial investors’ profiling (MiFID II regulation and the ESMA 2022 Guidelines), this paper aims to establish which distinctive socio-demographic traits distinguish investors who declare a generalized interest in all three environmental (E), social (S), and governance (G) pillars and investors who express interest in just one individual pillar or a combination of two pillars.

Based on a unique dataset of 190 real-world retail investors, this paper aims to create a profile of three types of investor: those whose interest lies in just the environmental pillar, those interested in a combination of the environmental and social pillars, and those interested in all three E, S, and G pillars jointly. Moreover, we try to ascertain whether it is possible to observe statistically significant differences between the different types of investors.

The results obtained indicate that it is possible to profile investors who are environmentally-oriented and investors who are ESG-oriented. Notably, levels of financial literacy do not influence investor ESG attitudes.

The results obtained may have multifaceted implications for financial advisors, the banking and financial institution industry, and marketing strategists, as well as for further research.

The originality of this paper derives from the responses used in the analysis, which were collected from a sample of real-world retail investors who completed a mandatory MiFID-questionnaire, validated by the Italian Securities and Markets Supervisory Authority. Our paper thus represents a bridge between a theoretical approach and real-world practice.

This paper examines the impact of macroeconomic volatility on stock volatility, both under normal conditions and during the COVID-19 pandemic in Vietnam.

We extend the existing Exponential Generalized Autoregressive Conditional Heteroskedasticity model by adding a new component: the thresholds – the levels of macroeconomic volatility at which the market may respond differently. These thresholds are estimated for both positive and negative volatility.

The impact of macroeconomic volatility on stock volatility is asymmetric: there are thresholds of macroeconomic volatility at which its pattern changes. These thresholds are higher in the case of positive volatility compared with negative volatility. The thresholds were also higher during the COVID-19 pandemic. Macroeconomic variables influence stock volatility differently depending on market conditions. While GDP is more significant in normal periods, interest rates affect it in both normal and unstable phases.

Our models consider only two variables representing macroeconomic variables: interest rate and GDP. Furthermore, only one lag period of the variables is included in the analysis. In the future, more macrovariables and longer lags could be included when computational techniques advance.

Policymakers should consider the impact of macroeconomic volatility on the stock market when designing policies, especially at thresholds. Similarly, investors should pay more attention to macroeconomic volatility when constructing and managing their portfolios, particularly when such volatility is close to thresholds.

The inclusion of thresholds as parameters to be estimated into the model provides more insights into the impact of macroeconomic variables on stock volatility.

This study explores the relationship between corruption and shadow economy (SE) by examining the potential links and interactions between these two phenomena to see whether it is a one-way or two-way relationship and a complementarity or substitution linkage.

Using a dataset comprised of 145 countries all over the world between 1996 and 2015, the authors apply the simultaneous two-step system generalized method of moments approach to address the research question.

The study findings support a positive bidirectional relationship between corruption and SE. As such, this study has provided evidence supporting the complementarity association. In the authors' further analyses, they point out that several factors can moderate this positive bidirectional linkage. In particular, while Foreign Direct Investment (FDI) inflows strengthen it, it is weakened by other institutional factors such as civil liberties and political rights. Finally, by splitting the full sample into three different subsamples and then examining countries at varying stages of economic development, the authors can gain valuable insights into the evolving dynamics of the relationship between corruption and SE. Specifically, while the authors observe that the positive direction of corruption to SE remains unchanged across different nations, they observe that the positive influence of SE on corruption is strongest among developed economies only.

The study findings provide an important policy implication. This study highlights the synergistic relationship between SE and corruption, indicating that reducing corruption will reduce the size of the SE. Consequently, this reduction in the SE can mitigate the adverse effects of corruption on economic development.

This paper is among the first empirical studies that critically investigate the interrelationship between SE and corruption. It then explores how this two-way linkage is conditional on some factors, such as economic development levels and institutional quality indicators.

This study aims to investigate the impact of international diversification on the value and operating efficiency of European real estate firms.

The study is conducted using a panel fixed effects regression model to estimate the relationship of international diversification with firm value and operating efficiency. International diversification is mainly measured via the negative of the Herfindahl–Hirschman Index (HHI) using property-level data. Firm value and operating efficiency are proxied by financial ratios observed annually from 2002 to 2021 at the firm level.

The results demonstrate that international diversification has a negative effect on firm value. Additionally, it lowers operating efficiency by weakening a firm's ability to generate operating earnings from its assets. By examining whether the reduction in operating efficiency is due to the rental income channel or the capital gains channel, the authors find strong statistical evidence that international diversification negatively impacts capital gains. International diversification is negatively associated with net gains from property valuations (unrealized capital gains) and net profits from property disposals (realized capital gains).

The empirical analysis is limited to Europe.

This paper extends the geographical diversification literature. While existing literature focuses on domestic diversification within the United States, this paper explores the effects of international diversification on European real estate firms. To the extent of the authors' knowledge, this is the first paper to examine the impact of geographical diversification on capital gains.