We consider the applicability of simple statistical models to Russia's short-term economic trends in a wartime context. We develop several composite indicators combining economic variables to predict Russian GDP trends both before and after the invasion if Ukraine in 2022. In addition, our SVAR...

Investor sentiment is the result of irrational speculations about the future asset values driven by the market participants. Though scholarly works on investor sentiment are evolving in both developed and emerging markets, the literature in the Indian context is relatively modest. To fill this...

The disruption of supply chain due to Covid-19 and the war in Ukraine, render the prediction of agricultural output a determinant factor of economic life. We consider the predictability of agricultural output based on a set of explanatory variables, that include agricultural input, prices and...

According to portfolio theory, diversifying investment to several stocks with negative correlations may reduce portfolio risk. In contrast, combining stocks with similar movement (co-movement) has no impact on portfolio risk reduction. This study aims to examine state-owned enterprise stock...

We have constructed a financial conditions index for Norway (FCIN). The FCIN offers a daily update on Norwegian financial conditions based on data from January 2003 on bank lending rates, bond spreads, the foreign exchange market, the stock market and the housing market. The index is constructed...

In this paper, we explore how asset returns used as a proxy to detect interconnectedness of systemic risk in the financial system. Our sample employs a mixture of Indonesian banks' public and prudential data over the 2012-2019 period. Using the Principal Component Analysis and Granger causality...

Gradient capital allocation, also known as Euler allocation, is a technique used to redistribute diversified capital requirements among different segments of a portfolio. The method is commonly employed to identify dominant risks, assessing the risk-adjusted profitability of segments, and...

The dynamic development of the digitized society generates large-scale information data flows. Therefore, data need to be compressed in a way allowing its content to remain complete and informative. In order for the above to be achieved, it is advisable to use the principal component method...

We propose a new rank-based test for the number of common primitive shocks, q, in large panel data. After estimating a VAR(1) model on r static factors extracted by principal component analysis, we estimate the number of common primitive shocks by testing the rank of the VAR residuals'...

We propose a new rank-based test for the number of common primitive shocks, q, in large panel data. After estimating a VAR(1) model on r static factors extracted by principal component analysis, we estimate the number of common primitive shocks by testing the rank of the VAR residuals'...

This study conducts a comprehensive analysis of the effects of changes in financial conditions on the economy of Türkiye, for which financial conditions indices were constructed. To examine possible changes in the relationship between financial conditions and the real economy due to the unique...

The literature on financial openness is rich, yet the selection of a suitable financial index remains a challenge. In this paper, Principal Component Analysis (PCA) and Factor Analysis (FA) are utilized to reduce the dimensionality of five publicly available financial openness indices. The...

We consider the applicability of simple statistical models to Russia's short-term economic trends in a wartime context. We develop several composite indicators combining economic variables to predict Russian GDP trends both before and after the invasion if Ukraine in 2022. In addition, our SVAR...

This study investigates the application of orthogonal generalized auto-regressive conditional heteroscedasticity (OGARCH) in predicting the co-movement of banking sector stocks in Indonesia. All state-owned banking sector stocks in Indonesia were studied using daily data from January 2013 to...

The rapid growth of the global economy and advanced technology has modernized our life, but it has taken its toll on ecology and environmental sustainability. Over the last few decades, the world has experienced increased emissions of toxic gases, severe global warming, and ambient air...

This study aims to contribute to the understanding of diversity within the context of banana farming and its implications for the management of banana Xanthomonas wilt (BXW) disease in Rwanda. We used a structured questionnaire to collect data from 690 banana farmers in eight districts,...

Job quality can impact workers' productivity and contribute to societal well-being. To analyze the evolution of job quality in Bolivia, this paper employs Bolivian household survey data spanning 2007 to 2021 to construct a synthetic job quality index. The index incorporates a broad definition of...

The excess levels of investor participation coupled with irrational behaviour in the South African bond market causes excess volatility, which in turn exposes investors to losses. Consequently, the study aims to examine the effect of market-wide investor sentiment on government bond index...

This study examines the role of social protection policies as a driver of inclusive growth. While some research argues that social protection policies empower marginalized groups, promote human capital, reduce inequality, alleviate poverty and contribute to long-term sustainable development,...

Despite the notable progress made in the development of digital financial services in sub-Saharan Africa, no comprehensive measure is currently available to quantify this progress. Therefore, we constructed a digital financial inclusion index using a parametric approach. Our findings show an...

Demographic aging results in a growing number of older people in need of care in many regions all over the world. Germany has witnessed steady population aging for decades, prompting policymakers and other stakeholders to discuss how to fulfill the rapidly growing demand for care workers and...

The study examines the effect of compliance with national governance frameworks on the relationship between corporate governance and the performance of publicly traded companies in Ghana. A sample of 31 companies listed on the Ghana Stock Exchange was drawn for the study based on their annual...

We consider the availability of new harmonized data sources and novel machine learning methodologies in the construction of a social vulnerability index (SoVI), a multidimensional measure that defines how individuals’ and communities may respond to hazards including natural disasters, economic...

This special issue comprises 12 papers published in the Special Issue entitled "Corporate Finance and Environmental, Social, and Governance (ESG) Practices", addressing a wide range of topics related to the following: corporate reporting (sustainability reporting; environmental accounting...

The Internet of things (IoT) is a wireless network designed to perform specific tasks and plays a crucial role in various fields such as environmental monitoring, surveillance, and healthcare. To address the limitations imposed by inadequate resources, energy, and network scalability, this type...

We address the problem of asset pricing in a market where there are no risky assets. Previous work developed a theoretical model for a shadow riskless rate (SRR) for such a market, based on the drift component of the state-price deflator for that asset universe. Assuming that asset prices are...

We explore the relationship between the returns of 45 dry bulk shipping company stock prices and the main 15 commodities that bulk carriers transport. Using a principal component analysis to reduce the dimensionality of the commodities dataset and a panel methodology, we find that a change in...

Job quality can impact workers' productivity and contribute to societal well-being. To analyze the evolution of job quality in Bolivia, this paper employs Bolivian household survey data spanning 2007 to 2021 to construct a synthetic job quality index. The index incorporates a broad definition of...