The existing research aims to seek the herding effects on stock returns at the industry level in Pakistan Stock Exchange (PSX). Moreover, the relationship between stock returns and herding has been studied by taking some macroeconomic (exchange rate, interest rate, and inflation rate) and fundamental (return on equity and earnings per share) control variables. Herding is actually imitating other's behaviour. This phenomenon indicates a situation where the investors follow the crowed and ignores their personal information, despite knowing the correctness of their information. Herd behaviour may drive from fundamental factors leading to efficient markets. However, it may not be associated with fundamental information causing unstable prices. The stock price data of PSX listed companies from 1999 to 2017 have been the point of focus. The underlying herding measure was the cross-sectional absolute deviation (CSAD), proposed by Chang et al. (2000). The significant analysis technique facilitating the current research is pooled mean group (PMG)/panel autoregressive distributed lag (ARDL) approach. Findings revealed that some sectors are evident for positive effect of herding on stock returns, whereas some others are witnessed for its negative effects on stock returns, in both long run and short run. As far as the control variables are concerned, they demonstrated both significant and insignificant effects on stock returns in different sectors of PSX. The study has important implications for policymakers.
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http://dx.doi.org/10.3389/fpsyg.2022.758364 | DOI Listing |
PLoS One
January 2025
Institute of Management, Accounting and Finance, Leuphana University Lüneburg, Lüneburg, Lower Saxony, Germany.
Climate change has heightened the need to understand physical climate risks, such as the increasing frequency and severity of heat waves, for informed financial decision-making. This study investigates the financial implications of extreme heat waves on stock returns in Europe and the United States. Accordingly, the study combines meteorological and stock market data by integrating methodologies from both climate science and finance.
View Article and Find Full Text PDFPLoS One
January 2025
Netherlands Defense Academy, Breda, The Netherlands.
In March 2018, U.S. President Trump announced that the U.
View Article and Find Full Text PDFOrthop J Sports Med
January 2025
Twin Cities Orthopedics, Edina, Minnesota, USA.
Background: Ice hockey players have a high rate of hip pathology, which can lead to hip arthroscopy. Previous studies have not utilized team-based advanced performance statistics in the setting of hip arthroscopy in National Hockey League (NHL) players.
Purpose/hypothesis: The purpose of this study was to use team-based advanced performance statistics to evaluate postoperative performance after hip arthroscopy in NHL players in comparison with their preoperative performance and matched controls of uninjured skaters.
J Environ Manage
January 2025
Université Clermont Auvergne, CleRMa, 11 bd Charles de Gaulle, 63000, Clermont-Ferrand, France. Electronic address:
This paper investigates how climate policy uncertainty (CPU) drives the sensitivity of Gulf Cooperation Council (GCC) countries' stock markets to oil price changes. Based on a sample of monthly observations from 2008 to 2022, it appears that CPU negatively moderates the link between lagged oil price changes and subsequent GCC stock market returns. Interestingly, the impact of CPU on the oil-stock relationship is non-linear.
View Article and Find Full Text PDFInj Prev
January 2025
Department of Orthopaedic Surgery, Duke University, Durham, North Carolina, USA
Introduction: Return-to-acute-care metrics, such as early emergency department (ED) visits, are key indicators of healthcare quality, with ED returns following surgery often considered avoidable and costly events. Proactively identifying patients at high risk of ED return can support quality improvement efforts, allowing interventions to target vulnerable patients. With its predictive capabilities, machine learning (ML) has shown potential in forecasting various clinical outcomes but remains underutilised in orthopaedic trauma.
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