Search results
1 – 10 of over 6000Albert Agbeko Ahiadu and Rotimi Boluwatife Abidoye
This study systematically reviewed existing literature on the impact of economic uncertainty on property performance to highlight focus areas and spur future research amid…
Abstract
Purpose
This study systematically reviewed existing literature on the impact of economic uncertainty on property performance to highlight focus areas and spur future research amid unprecedented global uncertainty levels. Conceptually, uncertainty levels and environmental dynamism are related to investors' risk judgement and decision-making.
Design/methodology/approach
Peer-reviewed journal articles published from 2007 to 2022 were assembled and arranged through the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR) protocol. The initial search produced 2,028 results from the Web of Science and Scopus databases, which were rigorously purified for a final dataset of 70 articles. These records were subsequently assessed through content analysis, bibliographic modelling, topic modelling and thematic analysis. Recurring themes were visualised using the VOSviewer software.
Findings
The existing literature suggests that economic uncertainty negatively impacts investment volumes, returns and performance. Research has also increased since 2018, with a strong emphasis on the housing sector and developed property markets. Commercial property and emerging markets account for only 10 and 8% of previous research, respectively.
Practical implications
These findings highlight the negative impact of economic uncertainties on property performance and investment volumes, which necessitate careful risk assessment. Given the high susceptibility of emerging and commercial property markets to uncertainty, these markets warrant further research amid ongoing uncertainty concerns across the globe.
Originality/value
Given current unprecedented levels of global uncertainty, the effects of economic uncertainty have received renewed interest. This study synthesised the current understanding of how different property markets respond to increased uncertainty and outlined future research directions to enhance understanding. Themes and relationships were also integrated into a conceptual map summarising the reported effects of economic uncertainty on housing, commercial property, investment and behaviour in the property market.
Details
Keywords
Constantinos-Vasilios Priporas and Durga Vellore-Nagarajan
This paper aims to determine new-normal uncertainty considerations stemming from the COVID-19 pandemic to consider within transaction-cost analysis for pharmaceuticals. It also…
Abstract
Purpose
This paper aims to determine new-normal uncertainty considerations stemming from the COVID-19 pandemic to consider within transaction-cost analysis for pharmaceuticals. It also aims to propose new-normal market entry strategies to address the uncertainty as a result of COVID-19's implications and provide for lack of knowledge and information in an uncertain business environment by way of Internet of Things (IoT) ecosystem for pharmaceutical market entry.
Design/methodology/approach
In this paper, we focus on the uncertainty facet within transaction-cost analysis consideration and utilise a descriptive three-case study approach taking in Johnson and Johnson (J&J), GlaxoSmithKline (GSK) and Novartis to present an ADO (Antecedent-Decisions-Outcomes) understanding of their usual market entry approach, the approach undertaken during the pandemic and the outcomes thereafter facilitating new-normal uncertainty considerations to factor in. Further with this insight, we develop a conceptual framework addressing the transaction-cost analysis implications of uncertainties toward lack of knowledge and information for a new-normal market entry approach and operating strategy for pharmaceuticals applicable due to IoT (Internet of Things).
Findings
Uncertainty (external and internal) is different now in the new-normal business environment for pharmaceuticals and boils down to acute shortage of knowledge and information impact to make an appropriately informed decision. Therefore, considering the changed factors to consider, pharmaceuticals need to be able to undertake market entry with vaccines and medicines by way of IoT thereby enabling, the filling of the gap via real-time data access and sharing, including enhancing predictive analysis for sustenance.
Research limitations/implications
The paper's findings have many theoretical implications highlighted in the manuscript.
Practical implications
The paper's findings have many practical implications highlighted in the manuscript.
Originality/value
This is the first study to our knowledge that throws light on transaction-cost analysis theory's uncertainty facet for pharmaceuticals. It is also the first study that provides a new-normal market entry strategy for pharmaceutical companies built on interoperability of real-time IoT.
Details
Keywords
Ujjawal Sawarn and Pradyumna Dash
This study aims to examine the uncertainty spillover among eight important asset classes (cryptocurrencies, US stocks, US bonds, US dollar, agriculture, metal, oil and gold) using…
Abstract
Purpose
This study aims to examine the uncertainty spillover among eight important asset classes (cryptocurrencies, US stocks, US bonds, US dollar, agriculture, metal, oil and gold) using weekly data from 2014 to 2020. This study also examines the US macro uncertainty and US financial stress spillover on these assets.
Design/methodology/approach
The authors use time–frequency connectedness method to study the uncertainty spillover among the asset classes.
Findings
This study’s findings revealed that the uncertainty spillover is time-varying and peaked during the 2016 oil supply glut and COVID-19 pandemic. US stocks are the highest transmitter of uncertainty to all other assets, followed by the US dollar and oil. US stocks (US dollar and oil) transmit uncertainty in long (short) term. Furthermore, US macro uncertainty is the net transmitter of uncertainty to the US stocks, industrial metals and oil markets. In contrast, US financial stress is the net transmitter of uncertainty to the US bonds, cryptocurrencies, the US dollar and gold markets. US financial stress (US macro uncertainty) has long (short)-term effects on asset price volatility.
Originality/value
This study complements the studies on volatility spillover among the important asset classes. This study also includes recently financialized asset classes such as cryptocurrencies, agricultural and industrial commodities. This study examines the macro uncertainty and financial stress spillover on these assets.
Details
Keywords
Sutap Kumar Ghosh, Md. Naiem Hossain and Hosneara Khatun
This study analyses the impact of economic and trade policy uncertainty on US and Chinese stock markets. Also, this study examines the hedge and safe-haven properties of US and…
Abstract
Purpose
This study analyses the impact of economic and trade policy uncertainty on US and Chinese stock markets. Also, this study examines the hedge and safe-haven properties of US and China stocks against both US and Chinese economic and trade policy uncertainty.
Design/methodology/approach
To achieve the desired goals, the authors employ Dynamic Conditional Correlation through Glosten et al. (1993) model based on the Generalized Autoregressive Conditional Heteroscedasticity (DCC-GJR-GARCH (1, 1)) and Quantile cross-spectral (QS) models. The study uses monthly observations spanning from March 2010 to June 2022.
Findings
This study evidence that the economic and trade policy uncertainty between USA and China is extremely sensitive and has high volatility clustering effects on DJChina88 and DJUS, respectively. Conversely, against the Chinese economic and trade policy uncertainty, the US stock market indexes show both hedging properties across the period and safe-haven during COVID-19 and Russia–Ukraine crises. In contrast, among the Chinese stock markets, only DJShenzhen and DJShanghai stock indices might provide strong hedging and safe-haven properties against the US economic and trade policy uncertainties; however, DJShenzhen (DJChina88) stock shows weak hedge and safe-haven properties (hedging benefits) against Chinese trade policy uncertainty (CTPU) (Chinese economic policy uncertainty [CEPU]).
Practical implications
The findings have significant implications for investors, portfolio managers and regulators in hedging and making proper decisions under uncertain circumstances.
Originality/value
The study extends the literature on stock market performance to cover the economic and trade policy uncertainty by providing novel evidence during the recent COVID-19 and Russia–Ukraine invasion.
Details
Keywords
Van Dan Dang and Hoang Chung Nguyen
The study examines the impact of uncertainty on bank opacity while particularly taking into account the moderating role of market structures.
Abstract
Purpose
The study examines the impact of uncertainty on bank opacity while particularly taking into account the moderating role of market structures.
Design/methodology/approach
Using a sample of Vietnamese banks from 2007 to 2019, the paper measures uncertainty at the disaggregate level of the banking sector through the dispersion of bank shocks and capture bank opacity from the perspective of bank earnings management based on discretionary loan loss provisions. The authors apply both structural and non-structural proxies of bank competition/concentration to better explore the role of market structures. Empirical regressions are conducted using the fixed effect regressions with Driscoll–Kraay standard errors and the two-step system generalized method of moments (GMM) technique, and then verified by the least squares dummy variable corrected (LSDVC) estimator.
Findings
Bank earnings opacity is less severe in periods of higher uncertainty. Further analysis documents that the negative impact of uncertainty on bank earnings opacity is stronger when the level of bank competition increases or when bank market power decreases.
Originality/value
The finding highlighting the conditioning role of market structures is entirely novel in the uncertainty-bank opacity literature. Moreover, in providing additional evidence on the significant impact of uncertainty on bank opacity, while prior related studies explore economic policy uncertainty, the authors utilize micro uncertainty in banking that exhibits enormous superiority.
Details
Keywords
Muhammad Saeed Meo, Kiran Jameel, Mohammad Ashraful Ferdous Chowdhury and Sajid Ali
The purpose of the research is to analyze the impact of world uncertainty and pandemic uncertainty on Islamic financial markets. For representing Islamic financial markets four…
Abstract
Purpose
The purpose of the research is to analyze the impact of world uncertainty and pandemic uncertainty on Islamic financial markets. For representing Islamic financial markets four different Islamic indices (DJ Islamic index, DJ Islamic Asia–Pacific index, DJ Islamic-Europe index and DJ Islamic-US) are taken.
Design/methodology/approach
The study employs quantile-on-quantile regression approach to see the overall dependence structure of variables based on quarterly data ranging from 1996Q1 to 2020Q4. This technique considers how quantiles of world uncertainty and pandemic uncertainty asymmetrically affect the quantiles of Islamic stocks by giving an appropriate framework to apprehend the overall dependence structure.
Findings
The findings of the study confirm a strong negative impact of world uncertainty and world pandemic uncertainty on regional Islamic stock indices but the strength of the relationship varies according to economic conditions and across the regions. However, the world pandemic effect remains the same and does not change. Conversely, pandemic uncertainty has a larger effect on Islamic indices as compared to world uncertainty.
Practical implications
Our findings have significant implications for investors and policymakers to take proper steps before any uncertainty arise. A coalition of the central bank, government officials and investment bank regulators would be needed to tackle this challenge of uncertainty.
Originality/value
To the best of the authors' knowledge, none of the current works has considered the asymmetric impact of world and pandemic uncertainties on Islamic stock markets at both the bottom and upper quantiles of the distribution of data.
Details
Keywords
Rajat Kumar Soni, Tanuj Nandan and Niti Nandini Chatnani
This research unfolds a holistic association between economic policy uncertainty (EPU) and three important markets (oil, stock and gold) in the Indian context. To do same, the…
Abstract
Purpose
This research unfolds a holistic association between economic policy uncertainty (EPU) and three important markets (oil, stock and gold) in the Indian context. To do same, the current study uses the monthly dataset of each variable spanning from November 2005 to March 2022.
Design/methodology/approach
The authors have portrayed the wavelet-based coherence, correlation and covariance plots to explore the interaction between EPU and markets' behavior. Then, a wavelet-based quantile on quantile regression model and wavelet-based Granger causality has been applied to examine the cause-and-effect relation and causality between the EPU and markets.
Findings
The authors’ findings report that the Indian crude oil buyers do not need to consider Indian EPU while negotiating the oil deals in the short term and medium term. However, in case of the long-term persistence of uncertainty, it becomes difficult for a buyer to negotiate oil deals at cheap rates. EPU causes unfavorable fluctuation in the stock market because macroeconomic decisions have a substantial impact on it. The authors have also found that gold is a gauge for economic imbalances and an accurate observer of inflation resulting from uncertainty, showing a safe haven attribute.
Originality/value
The authors’ work is original in two aspects. First, their study solely focused on the Indian economy to investigate the impact and causal power of Indian EPU on three major components of the Indian economy: oil, stock and gold. Second, they will provide their findings after analyzing data at a very microlevel using a wavelet-based quantile on quantile and wavelet-based Granger causality.
Details
Keywords
This study explores the interconnectedness and complexity of risk-varied climate initiatives such as green bonds (GBs), emissions trading systems (ETS) and socially responsible…
Abstract
Purpose
This study explores the interconnectedness and complexity of risk-varied climate initiatives such as green bonds (GBs), emissions trading systems (ETS) and socially responsible investments (SRI). The analysis covers the period from September 2011 to August 2022, using six indices: three representing climate initiatives and three indicating uncertainty.
Design/methodology/approach
To achieve this, the study first examines dynamic lead-lag relations and correlation patterns in the time-frequency domain to analyse the returns of the series. Additionally, it applies an innovative approach to investigate the predictability of uncertainty measurements of climate initiatives across various market conditions and frequency spillovers in the short, medium and long run.
Findings
The findings indicate changing relationships between the series, increased linkages during turbulent market periods and strong co-movements within the network. The ETS is recommended for diversification and hedging against uncertainty indices, whereas the GB may be suitable for long-term diversification.
Practical implications
This study highlights the role of climate initiatives as potential hedges and contagion amplifiers during crises, with implications for policy recommendations and the asymmetric effects on market connectedness.
Originality/value
The paper answers questions that previous studies have not and contributes to the literature regarding financial risk management and social responsibility.
Details
Keywords
Jennifer Franczak, Robert J. Pidduck, Stephen E. Lanivich and Jintong Tang
The authors probe the relationships between country institutional support for entrepreneurship and new venture survival. Specifically, the authors unpack the nuanced influences of…
Abstract
Purpose
The authors probe the relationships between country institutional support for entrepreneurship and new venture survival. Specifically, the authors unpack the nuanced influences of entrepreneurs' perceived environmental uncertainty and their subsequent entrepreneurial behavioral profiles and how this particularly bolsters venture survival in contexts with underdeveloped institutions for entrepreneurship.
Design/methodology/approach
Coleman (1990) ‘bathtub’ framework is applied to develop a model and propositions surrounding how and when emerging market entrepreneur's perceptions of their countries institutional support toward entrepreneurship can ultimately enhance new venture survival.
Findings
Entrepreneurs' interpretations of regulatory, cognitive and normative institutional support for private enterprise helps them embrace uncertainties more accurately reflective of “on the ground” realities and stimulates constructive entrepreneurial behaviors. These are critical for increasing survival prospects in characteristically turbulent, emerging market contexts that typically lack reliable formal resources for cultivating nascent ventures.
Practical implications
This paper has implications for international policymakers seeking to stimulate and sustain entrepreneurial ventures in emerging markets. The authors shed light on the practical importance of understanding the social realities and interpretations of entrepreneurs in a given country relating to their actual perceptions of support for venturing—cautioning a tendency for outsiders to over-rely on aggregated econometric indices and various national ‘doing business' rankings.
Originality/value
This study is the first to create a conceptual framework on the mechanisms of how entrepreneurs in emerging economies affect new venture survival. Drawing on Coleman's bathtub (1990), the authors develop propositional arguments for a multilevel sequential framework that considers how developing economies' country institutional profiles (CIP) influence entrepreneurs' perceptions of environmental uncertainty. Subsequently, this cultivates associated entrepreneurial behavior profiles, which ultimately enhance (inhibit) venture survival rates. Further, the authors discuss the boundary conditions of this regarding how the national culture serves to moderate each of these key relationships in both positive and negative ways.
Details
Keywords
Efe Caglar Cagli, Dilvin Taşkin and Pınar Evrim Mandaci
This paper aims to investigate the relationship between sustainable investments and a series of uncertainties from January 2014 to December 2021, including many economic and…
Abstract
Purpose
This paper aims to investigate the relationship between sustainable investments and a series of uncertainties from January 2014 to December 2021, including many economic and political turbulences and the COVID-19 pandemic.
Design/methodology/approach
The authors use Rényi’s transfer entropy method, a nonparametric flexible tool that considers both the center distribution and lower quantiles, capturing extreme rare events that give additional insights to analysis.
Findings
The authors’ results indicate significant bidirectional information transmissions between the crude oil volatility and sustainability indices. The authors report information flows between the cryptocurrency uncertainty and sustainability indices considering tail events. The results are essential for market participants making decisions during turbulent times.
Originality/value
This paper is carried out for a variety of uncertainty measures and environmental, social and governance (ESG) portfolios of both developed and developing markets. It adds to literature in terms of methodology used. Rényi’s transfer entropy methodology is first used to measure the relationship between uncertainties and ESG investments.
Details