{"title":"Valuation Driven Innovation","authors":"Keming Li","doi":"10.1007/s10690-024-09514-2","DOIUrl":"10.1007/s10690-024-09514-2","url":null,"abstract":"<div><p>This paper examines whether and how market valuation influences firm innovation, using an ex ante valuation measure that filters firm size and growth prospects from tangible investment. Specifically, by utilizing the National Bureau of Economic Research (NBER) patent database, I find that firms with high market valuations generate more innovative outputs, as measured by the number of patents and patent citations. Causality is established using mutual fund flows as an exogenous shock, demonstrating a strong effect of market valuation on firm innovation. Consistent with the idea that managers take advantage of irrationally low discount rates by issuing equity and investing the proceeds, these results are more pronounced among firms with high financial constraints and overvaluation. The sensitivity of innovative output to market valuation varies with equity market timing and sentiment, but is not affected by whether or not firms are issuing equity.</p></div>","PeriodicalId":54095,"journal":{"name":"Asia-Pacific Financial Markets","volume":"33 2","pages":"589 - 631"},"PeriodicalIF":2.6,"publicationDate":"2025-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10690-024-09514-2.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147682728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Market-News Co-Moments and the Cross Section of Stock Returns","authors":"Mohammadreza Tavakoli Baghdadabad, Girijasankar Mallik, Sriram Shankar","doi":"10.1007/s10690-024-09511-5","DOIUrl":"10.1007/s10690-024-09511-5","url":null,"abstract":"<div><p>We examine the asset-pricing implications of market-news co-moments by using shares listed on the U.S. stock market during 1928–2023. We find that firms with negative co-skewness (positive beta and co-kurtosis) of their market cash flows yield higher premia than otherwise comparable firms with positive co-skewness (negative beta and co-kurtosis) of their market cash flows. Our findings confirm that the market cash-flow beta, co-skewness and co-kurtosis premiums are priced in the U.S. market over and above what the market return, size, value, momentum, profitability and investment factors can explain. Our proposed cash-flow beta and co-skewness can predict realized cash-flow beta and co-skewness respectively. Further, our findings detect the potential sources of risk in stock returns that are reflected in the market cash-flow co-moments. Finally, we find low statistical and economic significance for our proposed discount-rate co-moments and the whammy shocks built by the market-news co-moments.</p></div>","PeriodicalId":54095,"journal":{"name":"Asia-Pacific Financial Markets","volume":"33 1","pages":"413 - 504"},"PeriodicalIF":2.6,"publicationDate":"2025-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147337281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Pathways to Life Success: a Comparative Study of Financial Well-Being among Males and Females in an Emerging Economy","authors":"Jitender Kumar, Vinki Rani, Manju Rani, Garima Rani","doi":"10.1007/s10690-024-09509-z","DOIUrl":"10.1007/s10690-024-09509-z","url":null,"abstract":"<div><p>Financial well-being is a psychological notion that determines an individual’s level of happiness in life and contributes to the success of economic growth. However, there is little research on the factors influencing the individual’s financial well-being by focusing on the comparative analysis between male and female individuals. This study is uniquely developed and empirically tests a novel framework on gender differences in financial well-being by using two datasets. Data was collected through “self-administered questionnaires,” which included 398 males from Study M and 409 females from Study F in the National Capital Region (NCR) India. In both studies, this research indicates that financial socialization and financial self-efficacy improve financial behavior, financial satisfaction and financial well-being. However, financial stress reduces financial behavior, financial satisfaction and financial well-being in both studies. Notably, financial attitude enhances financial well-being in Study F and reduces financial well-being in Study M. The study’s insights offer financial educators and policymakers valuable guidance by formulating more effective strategies to safeguard individuals’ financial futures. Accordingly, this study extends the earlier literature by evolving and empirically testing a novel framework on the antecedents of financial well-being by using a comparative analysis of two datasets in an emerging nation.</p></div>","PeriodicalId":54095,"journal":{"name":"Asia-Pacific Financial Markets","volume":"33 1","pages":"349 - 378"},"PeriodicalIF":2.6,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147341413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Investor Sentiment and Stock Price Crash Risk: Indian Perspective","authors":"Rubini Sampath Sena, R. Madhumathi","doi":"10.1007/s10690-024-09512-4","DOIUrl":"10.1007/s10690-024-09512-4","url":null,"abstract":"<div><p>This study investigates the effect of investor sentiment on stock price crash risk for Indian firms from 2013 to 2022. We adhere to Baker and Wurgler (TJF 61:1645–1680, 2006) in constructing an aggregate investor sentiment index and examining its relationship with stock price crash risk. In our study, investor sentiment is measured using the Indian VIX in conjunction with firm-specific variables. We discover that a substantial positive association exists between investor sentiment and crash risk. We further examine the relationship between institutional investor holdings and stock price crash risk. Our results show that stocks with high institutional investor holdings exhibit higher crash-risk properties than those with low institutional investor holdings. Several robustness checks validate our findings.</p></div>","PeriodicalId":54095,"journal":{"name":"Asia-Pacific Financial Markets","volume":"33 2","pages":"537 - 558"},"PeriodicalIF":2.6,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147682727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Impact of Financial Stress on Economic Growth in Asian Emerging Economies: Evidence from Quantile Connectedness Approach","authors":"Raktim Ghosh, Biswajit Paul, Ashish Kumar Sana, Bhaskar Bagchi, Priyajit Kumar Ghosh","doi":"10.1007/s10690-024-09513-3","DOIUrl":"10.1007/s10690-024-09513-3","url":null,"abstract":"<div><p>The global financial recession was the most severe economic downturn since the Great Depression of the 1930s. Since this episode, the concept and assessment of financial stress and the effects of financial stress have drawn greater attention. This study emphasizes assessing the impact of financial stress on economic growth in light of recent calamities that the world has endured in the aftermath of the global financial crisis, the Euro Crisis, and the COVID-19 pandemic by using the quantile regression model which demonstrates some interesting outcomes in assessing the impact of financial stress on the economic growth of Asian emerging economies in recent decades, that has seen fast economic expansion as well as integration into the worldwide economy. Moreover, the ERS unit root test confirms the non-existence of unit root, and the robustness of the model is also examined. Furthermore, analyzing how the intensity and direction of the linkages change over different quantiles of the distribution is also highlighted which is a more sophisticated learning of the relationship between financial stress and economic growth.</p></div>","PeriodicalId":54095,"journal":{"name":"Asia-Pacific Financial Markets","volume":"33 2","pages":"559 - 588"},"PeriodicalIF":2.6,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147682760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Crypto Volatility Forecasting: Mounting a HAR, Sentiment, and Machine Learning Horserace","authors":"Alexander Brauneis, Mehmet Sahiner","doi":"10.1007/s10690-024-09510-6","DOIUrl":"10.1007/s10690-024-09510-6","url":null,"abstract":"<div><p>The relationship between investor sentiment and cryptocurrency market volatility remains an area of growing interest in empirical finance. In this study, we present an innovative forecasting approach by utilizing a unique dataset of AI-generated sentiment from a comprehensive database of crypto market news. In a horserace fashion, we first evaluate the Heterogeneous Autoregressive (HAR) model and then compare its forecasting performance to five advanced machine learning (ML) methods. ML performs reasonably well and improves the accuracy of the benchmark HAR model. Interestingly, including sentiment does not improve the forecasting accuracy of the HAR model. However, our findings highlight that investor sentiment seems to influence crypto market volatility in a nonlinear fashion that can (only) be captured by ML methods. In other words, LightGBM, XGBoost, and LSTM models show enhanced predictive accuracy when sentiment data is incorporated, improving no-sentiment forecasts in 54.17% of the cases studied. Overall, our results emphasize the significant potential of integrating machine learning and sentiment analysis as a promising avenue for improved forecasting, offering potential benefits for risk management strategies and provide valuable insights for researchers and practitioners.\u0000</p></div>","PeriodicalId":54095,"journal":{"name":"Asia-Pacific Financial Markets","volume":"33 1","pages":"379 - 411"},"PeriodicalIF":2.6,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10690-024-09510-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147339145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abhisek Mahanta, Naresh Chandra Sahu, Pradeep Kumar Behera
{"title":"Sustainable Indices Outperforming Traditional Indices in India: A Comparative Study Pre and During COVID-19","authors":"Abhisek Mahanta, Naresh Chandra Sahu, Pradeep Kumar Behera","doi":"10.1007/s10690-024-09506-2","DOIUrl":"10.1007/s10690-024-09506-2","url":null,"abstract":"<div><p>This study aims to compare the performance of sustainable indices with the traditional indices of Indian stock markets, both before and during the COVID-19 pandemic in terms of risk, return, and volatility. The findings indicate that sustainable indices consistently outperform traditional indices regarding risk, returns, and volatility aspects during the COVID-19 crisis. The examination of volatility reveals the presence of significant internal volatility and asymmetric effects within the indices. Further, the Asymmetric VAR-BEKK-GARCH model uncovers a bi-directional volatility spillover between the indices before the COVID-19 period while a unidirectional volatility spillover is observed during the COVID-19 period. The connectedness approach using the TVP-VAR-based Diebold &Yilmaz model shows that sustainable indices are the net transmitters and traditional index is the net receiver of volatility spillover. Moreover, various asset pricing market factors like market premium, Small Minus Big (SMB), High Minus Low (HML), and Winners Minus Losers (WML) are driving the better performances of sustainable indices during the crisis period. Consequently, investors may consider including sustainable indices, funds, ETFs, and stocks as viable alternatives to traditional indices to diversify their portfolios during crisis periods. This analysis supports the Modern Portfolio Theory (MPT), and the ‘flight-to-safety’ phenomenon during a crisis, and aligns financial goals with Environmental, Social, and Governance (ESG) considerations.</p></div>","PeriodicalId":54095,"journal":{"name":"Asia-Pacific Financial Markets","volume":"33 1","pages":"213 - 261"},"PeriodicalIF":2.6,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147336603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analyzing the Divergent Effects of Oil Price Changes on BRICS Stock Markets","authors":"Neha Gupta, Namita Sahay, Miklesh Prasad Yadav","doi":"10.1007/s10690-024-09497-0","DOIUrl":"10.1007/s10690-024-09497-0","url":null,"abstract":"<div><p>We analyse the asymmetric impact of oil prices on the stock markets of the BRICS nations. Employing the Nonlinear Autoregressive Distributed Lag (NARDL) model, we examine the weekly data spanning from October 29, 2010, to May 28, 2021 for West Texas Intermediate (WTI) spot prices in USD per barrel, alongside stock price data from official stock market indices websites. The findings reveal a substantial long-run association of oil prices with stock markets of BRICS nations except South Africa with significant asymmetry observed in both short and long-term impacts. Specifically, fluctuations in oil prices exhibit divergent effects on stock markets within these nations necessitating nuanced policy responses. Investors and portfolio managers are encouraged to adopt nonlinear models for forecasting and portfolio management leveraging asymmetric effects for risk mitigation strategies. These suggestions underscore the importance of recognizing the nonlinear and asymmetric nature of oil price dynamics in shaping investment decisions and formulating effective policy measures to mitigate associated risks in BRICS stock markets.</p></div>","PeriodicalId":54095,"journal":{"name":"Asia-Pacific Financial Markets","volume":"32 4","pages":"1551 - 1569"},"PeriodicalIF":2.6,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145449722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reset Feature in Convertible Bonds: Is It Good for the Firm?","authors":"Kyung Hee Park, Sanghoon Lee","doi":"10.1007/s10690-024-09504-4","DOIUrl":"10.1007/s10690-024-09504-4","url":null,"abstract":"<div><p>This study analyzes the impact of the reset clause in convertible bonds on firms. Specifically, it investigates whether the reset feature helps alleviate capital constraints, whether this effect varies based on the controlling shareholders’ ownership stake, and how the reset feature influences the long-term performance of firms. The analysis is based on convertible bond issuances by firms listed on the Korean Stock Exchange and KOSDAQ between 2000 and 2020. The results are as follows. First, firms without the reset feature at the time of convertible bond issuance experience a higher level of capital constraint alleviation. Second, the effect of this capital constraint alleviation is not affected by the ownership stake of the controlling shareholders. Finally, the reset feature negatively impacts the long-term performance of firms. The study suggests that small and medium-sized enterprises with high growth potential might benefit from avoiding the use of the reset clause when issuing convertible bonds. This study contributes to the literature by offering the first robust empirical analysis of the reset clause, providing valuable insights into its impact and implications. These findings are expected to inform and enhance policy discussions surrounding the use of reset clauses in convertible bonds.</p></div>","PeriodicalId":54095,"journal":{"name":"Asia-Pacific Financial Markets","volume":"33 1","pages":"149 - 169"},"PeriodicalIF":2.6,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147340934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Retail Investors’ Perception Towards Green Bonds in Advancing Sustainability: Evidence from India","authors":"Farhat Aziz Lone, Shalini Aggarwal, Sanjeev Jain","doi":"10.1007/s10690-024-09503-5","DOIUrl":"10.1007/s10690-024-09503-5","url":null,"abstract":"<div><p>Green bonds are financial instruments that raise funds for financing green projects. They facilitate sustainable investing with the goal to mitigate environmental damage. The presents study understands the factors that impact the perception of retail investor towards investing in green bonds. Also, it studies: is there any significant relationship between perceptions of retail investors towards investment in GBs and sustainability?” Furthermore, we conducted a mediation analysis to assess the role of \"perception towards green bond investment\" in advancing sustainability objectives. Exploratory factor analysis has been used to understand the important factors. Also, the study uses the PLS-SEM for testing the path analysis while performing structural model testing. The results show that social factors are the most significant factors followed by personal factors. Environmental factors comes next with financial gains as the fourth important factor that impact the perception of green bond investors in India. Risk associated with investment is given the least priority. The study will helps the fund managers, brokers, companies and policymakers to understand the perceptions of retail investors towards GBs. It will provide insight to the policymakers to incorporate the policy changes regarding the issue of green bonds in the country.</p></div>","PeriodicalId":54095,"journal":{"name":"Asia-Pacific Financial Markets","volume":"33 1","pages":"119 - 148"},"PeriodicalIF":2.6,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147340064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}