Pub Date : 2024-11-02DOI: 10.1016/j.jempfin.2024.101565
Lykourgos Alexiou , Leonidas S. Rompolis
We introduce a new jump tail risk measure retrieved from option prices. We examine the cross-sectional pricing of stocks according to their sensitivities to jump tail risk. We find a negative market price of jump tail risk. A high-low portfolio sorted by jump tail risk betas delivers a statistically and economically significant negative premium of -9.95% per year. Risk-adjusted returns are also negative and highly significant. We document that the negative jump tail risk premium is mainly driven by its downside jump tail risk component. On the contrary, the premium of the high-low portfolio sorted by upside jump tail risk betas is insignificant. The negative premium of downside jump tail risk is significant when controlling for various risk factor loadings and firm characteristics, and remains strong for large firms. Our results carry over to a predictive setting, in which we compare subsequent realized returns of the quintile portfolios sorted by downside jump tail risk betas estimated over the previous period.
{"title":"Jump tail risk exposure and the cross-section of stock returns","authors":"Lykourgos Alexiou , Leonidas S. Rompolis","doi":"10.1016/j.jempfin.2024.101565","DOIUrl":"10.1016/j.jempfin.2024.101565","url":null,"abstract":"<div><div>We introduce a new jump tail risk measure retrieved from option prices. We examine the cross-sectional pricing of stocks according to their sensitivities to jump tail risk. We find a negative market price of jump tail risk. A high-low portfolio sorted by jump tail risk betas delivers a statistically and economically significant negative premium of -9.95% per year. Risk-adjusted returns are also negative and highly significant. We document that the negative jump tail risk premium is mainly driven by its downside jump tail risk component. On the contrary, the premium of the high-low portfolio sorted by upside jump tail risk betas is insignificant. The negative premium of downside jump tail risk is significant when controlling for various risk factor loadings and firm characteristics, and remains strong for large firms. Our results carry over to a predictive setting, in which we compare subsequent realized returns of the quintile portfolios sorted by downside jump tail risk betas estimated over the previous period.</div></div>","PeriodicalId":15704,"journal":{"name":"Journal of Empirical Finance","volume":"79 ","pages":"Article 101565"},"PeriodicalIF":2.1,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142653871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-02DOI: 10.1016/j.jempfin.2024.101559
Toshiaki Watanabe , Jouchi Nakajima
A new high-frequency realized stochastic volatility model is proposed. Apart from the standard daily-frequency stochastic volatility model, the high-frequency stochastic volatility model is fit to intraday returns by extensively incorporating intraday volatility patterns. The daily realized volatility calculated using intraday returns is incorporated into the high-frequency stochastic volatility model by considering the bias in the daily realized volatility caused by microstructure noise. The volatility of intraday returns is assumed to consist of the autoregressive process, the seasonal component of the intraday volatility pattern, and the announcement component responding to macroeconomic announcements. A Bayesian method via Markov chain Monte Carlo is developed for the analysis of the proposed model. The empirical analysis using the 5-minute returns of E-mini S&P 500 futures provides evidence that our high-frequency realized stochastic volatility model improves in-sample model fit and volatility forecasting over the high-frequency stochastic volatility model.
{"title":"High-frequency realized stochastic volatility model","authors":"Toshiaki Watanabe , Jouchi Nakajima","doi":"10.1016/j.jempfin.2024.101559","DOIUrl":"10.1016/j.jempfin.2024.101559","url":null,"abstract":"<div><div>A new high-frequency realized stochastic volatility model is proposed. Apart from the standard daily-frequency stochastic volatility model, the high-frequency stochastic volatility model is fit to intraday returns by extensively incorporating intraday volatility patterns. The daily realized volatility calculated using intraday returns is incorporated into the high-frequency stochastic volatility model by considering the bias in the daily realized volatility caused by microstructure noise. The volatility of intraday returns is assumed to consist of the autoregressive process, the seasonal component of the intraday volatility pattern, and the announcement component responding to macroeconomic announcements. A Bayesian method via Markov chain Monte Carlo is developed for the analysis of the proposed model. The empirical analysis using the 5-minute returns of E-mini S&P 500 futures provides evidence that our high-frequency realized stochastic volatility model improves in-sample model fit and volatility forecasting over the high-frequency stochastic volatility model.</div></div>","PeriodicalId":15704,"journal":{"name":"Journal of Empirical Finance","volume":"79 ","pages":"Article 101559"},"PeriodicalIF":2.1,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142653723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-30DOI: 10.1016/j.jempfin.2024.101563
Anne Lundgaard Hansen
This paper studies time-series patterns in the contribution of macroeconomic shocks to the variation in U.S. Treasury bond yields. I consider a term structure model with time-varying conditional volatility, which implies time variation in the decomposition of forecast error variances. Based on the model, I show that the macroeconomic contribution to the variation in short-term yields has increased since the 1970s. A similar pattern characterizes the variation in the expectations on future interest rates. This trend is not reflected in long-term yields because macroeconomic shocks drive negative correlations between short-rate expectations and term premia. Finally, I show that accounting for time-varying volatility is important even for estimating the average macroeconomic contribution to yield curve volatility over a fixed sample.
{"title":"Time-varying variance decomposition of macro-finance term structure models","authors":"Anne Lundgaard Hansen","doi":"10.1016/j.jempfin.2024.101563","DOIUrl":"10.1016/j.jempfin.2024.101563","url":null,"abstract":"<div><div>This paper studies time-series patterns in the contribution of macroeconomic shocks to the variation in U.S. Treasury bond yields. I consider a term structure model with time-varying conditional volatility, which implies time variation in the decomposition of forecast error variances. Based on the model, I show that the macroeconomic contribution to the variation in short-term yields has increased since the 1970s. A similar pattern characterizes the variation in the expectations on future interest rates. This trend is not reflected in long-term yields because macroeconomic shocks drive negative correlations between short-rate expectations and term premia. Finally, I show that accounting for time-varying volatility is important even for estimating the average macroeconomic contribution to yield curve volatility over a fixed sample.</div></div>","PeriodicalId":15704,"journal":{"name":"Journal of Empirical Finance","volume":"79 ","pages":"Article 101563"},"PeriodicalIF":2.1,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142586497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-25DOI: 10.1016/j.jempfin.2024.101561
Afees A. Salisu , Riza Demirer , Rangan Gupta
This paper provides a novel perspective on the innovation-stock market nexus by examining the predictive relationship between technological shocks and stock market volatility using data over a period of more than 140 years. Utilizing annual patent data for the U.S. and a large set of economies to create proxies for local and global technological shocks and a mixed-sampling data (MIDAS) framework, we present robust evidence that technological shocks capture significant predictive information regarding future realizations of stock market volatility, both in- and out-of-sample and at both the short and long forecast horizons. Further economic analysis shows that investment portfolios created by the volatility forecasts obtained from the forecasting models that incorporate technological shocks as predictors in volatility models experience significantly lower return volatility in the out-of-sample horizons, which in turn helps to improve the risk-return profile of those portfolios. Our findings present a novel take on the nexus between technological innovations and stock market dynamics and pave the way for several interesting avenues for future research regarding the role of technological innovations on asset pricing tests and portfolio models.
{"title":"Technological shocks and stock market volatility over a century","authors":"Afees A. Salisu , Riza Demirer , Rangan Gupta","doi":"10.1016/j.jempfin.2024.101561","DOIUrl":"10.1016/j.jempfin.2024.101561","url":null,"abstract":"<div><div>This paper provides a novel perspective on the innovation-stock market nexus by examining the predictive relationship between technological shocks and stock market volatility using data over a period of more than 140 years. Utilizing annual patent data for the U.S. and a large set of economies to create proxies for local and global technological shocks and a mixed-sampling data (MIDAS) framework, we present robust evidence that technological shocks capture significant predictive information regarding future realizations of stock market volatility, both in- and out-of-sample and at both the short and long forecast horizons. Further economic analysis shows that investment portfolios created by the volatility forecasts obtained from the forecasting models that incorporate technological shocks as predictors in volatility models experience significantly lower return volatility in the out-of-sample horizons, which in turn helps to improve the risk-return profile of those portfolios. Our findings present a novel take on the nexus between technological innovations and stock market dynamics and pave the way for several interesting avenues for future research regarding the role of technological innovations on asset pricing tests and portfolio models.</div></div>","PeriodicalId":15704,"journal":{"name":"Journal of Empirical Finance","volume":"79 ","pages":"Article 101561"},"PeriodicalIF":2.1,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142571895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-24DOI: 10.1016/j.jempfin.2024.101562
Luis Ceballos , Vanja Piljak , Laurens Swinkels
We investigate whether political risk is priced in the cross-section of corporate bond returns by using a text-based measure of firm-level political risk. We document a positive and significant political risk premium after controlling for bond and firm characteristics, conventional risk factors, and exposure to aggregate economic policy uncertainty. Bonds with higher political and credit risk, as well as smaller, more illiquid, and longer maturity corporate bonds exhibit a larger political risk premium. Time-series analysis indicates that monetary policy shocks and common shocks in the equity and bond market exhibit a statistically significant and positive association with the political risk premium. Our findings reveal the importance of idiosyncratic political risk beyond common risk factors and aggregate economic policy uncertainty.
{"title":"Is firm-level political risk priced in the corporate bond market?","authors":"Luis Ceballos , Vanja Piljak , Laurens Swinkels","doi":"10.1016/j.jempfin.2024.101562","DOIUrl":"10.1016/j.jempfin.2024.101562","url":null,"abstract":"<div><div>We investigate whether political risk is priced in the cross-section of corporate bond returns by using a text-based measure of firm-level political risk. We document a positive and significant political risk premium after controlling for bond and firm characteristics, conventional risk factors, and exposure to aggregate economic policy uncertainty. Bonds with higher political and credit risk, as well as smaller, more illiquid, and longer maturity corporate bonds exhibit a larger political risk premium. Time-series analysis indicates that monetary policy shocks and common shocks in the equity and bond market exhibit a statistically significant and positive association with the political risk premium. Our findings reveal the importance of idiosyncratic political risk beyond common risk factors and aggregate economic policy uncertainty.</div></div>","PeriodicalId":15704,"journal":{"name":"Journal of Empirical Finance","volume":"79 ","pages":"Article 101562"},"PeriodicalIF":2.1,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142571894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-22DOI: 10.1016/j.jempfin.2024.101557
Nico Oefele, Dirk G. Baur, Lee A. Smales
This paper is the first to provide a comprehensive comparison of two financial instruments: stablecoins and money market mutual funds (MMFs). We observe similar reserve asset backing for fiat reserve backed (FRB) stablecoins and MMFs, similar importance of sponsor support, and the same negative association between macroeconomic indicators and peg deviations. Both instruments serve as short-term facilities for investors to park funds and their primary market microstructure is similar. However, FRB stablecoins exhibit larger dispersions from the dollar peg, significantly higher volatility, and a lack of transparency in their market infrastructure. Larger FRB stablecoins show reduced volatility compared to their smaller counterparts, with peg deviation drivers more closely resembling those of MMFs. We conclude that FRB stablecoins demonstrate remarkable similarities to MMFs and have the potential to become the MMFs of the future.
{"title":"Are stablecoins the money market mutual funds of the future?","authors":"Nico Oefele, Dirk G. Baur, Lee A. Smales","doi":"10.1016/j.jempfin.2024.101557","DOIUrl":"10.1016/j.jempfin.2024.101557","url":null,"abstract":"<div><div>This paper is the first to provide a comprehensive comparison of two financial instruments: stablecoins and money market mutual funds (MMFs). We observe similar reserve asset backing for fiat reserve backed (FRB) stablecoins and MMFs, similar importance of sponsor support, and the same negative association between macroeconomic indicators and peg deviations. Both instruments serve as short-term facilities for investors to park funds and their primary market microstructure is similar. However, FRB stablecoins exhibit larger dispersions from the dollar peg, significantly higher volatility, and a lack of transparency in their market infrastructure. Larger FRB stablecoins show reduced volatility compared to their smaller counterparts, with peg deviation drivers more closely resembling those of MMFs. We conclude that FRB stablecoins demonstrate remarkable similarities to MMFs and have the potential to become the MMFs of the future.</div></div>","PeriodicalId":15704,"journal":{"name":"Journal of Empirical Finance","volume":"79 ","pages":"Article 101557"},"PeriodicalIF":2.1,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142653724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-20DOI: 10.1016/j.jempfin.2024.101558
Marie Dutordoir , Joshua Shemesh , Chris Veld , Qing Wang
We document substantial increases in corporate security offerings during the COVID pandemic. While the increase in seasoned equity offerings (SEOs) can be attributed to shifts in macroeconomic conditions, increases in convertible and straight bond offerings cannot be explained by standard security choice determinants. We furthermore find that COVID-period SEO announcements are often contaminated with Research and Development (R&D)-related news, with the SEO proceeds more likely to be hoarded as cash. Overall, COVID-period SEOs align with market timing behavior, but the increase in COVID-period convertibles and straight bonds cannot be reconciled with pre-pandemic corporate financing rationales or government interventions. We furthermore demonstrate that the COVID pandemic differs substantially from the Global Financial Crisis (GFC) in terms of security offering choices and announcement returns.
我们记录了 COVID 大流行期间公司证券发行的大幅增长。证券发行的增加可以归因于宏观经济条件的变化,而可转换债券和直接债券发行的增加则无法用标准的证券选择决定因素来解释。此外,我们还发现,COVID 期间的 SEO 公告往往被研发(R&D)相关新闻所污染,SEO 募集的资金更有可能被囤积为现金。总体而言,COVID 期 SEO 符合市场时机行为,但 COVID 期可转换债券和直接债券的增加与大流行前的企业融资理由或政府干预无法调和。我们还进一步证明,在证券发行选择和公告回报方面,COVID 大流行与全球金融危机(GFC)有很大不同。
{"title":"Can existing corporate finance theories explain security offerings during the COVID-19 pandemic?","authors":"Marie Dutordoir , Joshua Shemesh , Chris Veld , Qing Wang","doi":"10.1016/j.jempfin.2024.101558","DOIUrl":"10.1016/j.jempfin.2024.101558","url":null,"abstract":"<div><div>We document substantial increases in corporate security offerings during the COVID pandemic. While the increase in seasoned equity offerings (SEOs) can be attributed to shifts in macroeconomic conditions, increases in convertible and straight bond offerings cannot be explained by standard security choice determinants. We furthermore find that COVID-period SEO announcements are often contaminated with Research and Development (R&D)-related news, with the SEO proceeds more likely to be hoarded as cash. Overall, COVID-period SEOs align with market timing behavior, but the increase in COVID-period convertibles and straight bonds cannot be reconciled with pre-pandemic corporate financing rationales or government interventions. We furthermore demonstrate that the COVID pandemic differs substantially from the Global Financial Crisis (GFC) in terms of security offering choices and announcement returns.</div></div>","PeriodicalId":15704,"journal":{"name":"Journal of Empirical Finance","volume":"79 ","pages":"Article 101558"},"PeriodicalIF":2.1,"publicationDate":"2024-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142553629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-18DOI: 10.1016/j.jempfin.2024.101556
Chen Chen , Chris Stivers , Licheng Sun
We show that short-term reversal behavior declines with a stock’s turnover and the prior month’s price-to-52-week-high ratio (PTH), shifting to momentum for stocks with both a relatively high turnover and PTH. This behavior of consecutive one-month individual stock returns is robust to subperiod analysis, risk adjustments, and alternative methodologies. Our findings suggest opposing channels. First, promoting short-term momentum, our evidence implies a PTH-anchoring underreaction to recent news, consistent with the short-term contrarian price-dampening channel of Atmaz et al. (2024) with higher turnover implying a stronger contrarian-induced underreaction. Second, promoting short-term reversals, our evidence reinforces the importance of the well-known liquidity-provision-compensation channel. Reversals are especially strong for low-PTH, low-turnover stocks, where the lower PTH implies a generally smaller-cap, less-liquid stock and the lower turnover implies a weaker contrarian-induced underreaction. We also find that the return behaviors vary with dispersion in analysts’ earnings forecasts and with market-wide sentiment, in a manner consistent with these channels.
{"title":"Short-term momentum and reversals, turnover, and a stock’s price-to-52-week-high ratio","authors":"Chen Chen , Chris Stivers , Licheng Sun","doi":"10.1016/j.jempfin.2024.101556","DOIUrl":"10.1016/j.jempfin.2024.101556","url":null,"abstract":"<div><div>We show that short-term reversal behavior declines with a stock’s turnover and the prior month’s price-to-52-week-high ratio (PTH), shifting to momentum for stocks with both a relatively high turnover and PTH. This behavior of consecutive one-month individual stock returns is robust to subperiod analysis, risk adjustments, and alternative methodologies. Our findings suggest opposing channels. First, promoting short-term momentum, our evidence implies a PTH-anchoring underreaction to recent news, consistent with the short-term contrarian price-dampening channel of Atmaz et al. (2024) with higher turnover implying a stronger contrarian-induced underreaction. Second, promoting short-term reversals, our evidence reinforces the importance of the well-known liquidity-provision-compensation channel. Reversals are especially strong for low-PTH, low-turnover stocks, where the lower PTH implies a generally smaller-cap, less-liquid stock and the lower turnover implies a weaker contrarian-induced underreaction. We also find that the return behaviors vary with dispersion in analysts’ earnings forecasts and with market-wide sentiment, in a manner consistent with these channels.</div></div>","PeriodicalId":15704,"journal":{"name":"Journal of Empirical Finance","volume":"79 ","pages":"Article 101556"},"PeriodicalIF":2.1,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142532660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-30DOI: 10.1016/j.jempfin.2024.101555
Chien-Lin Lu , Chih-Yung Lin , Tse-Chun Lin , Bin Miao
We analyze whether the disaggregation quality (DQ) of a borrower's financial statement is associated with its bank loan pricing. We find that firms with high DQ have low spreads on their bank loans. This result is more pronounced for firms with positive financial prospects, higher risk, and no prior banking relationship with the lenders. Moreover, a high DQ is associated with a low total cost of borrowing, high credit rating, and low spreads on bond issues. Overall, our results show that disaggregated financial statements facilitate bank loan pricing by enabling lenders to make better predictions of their borrowers’ future performance.
{"title":"Financial statement disaggregation and bank loan pricing","authors":"Chien-Lin Lu , Chih-Yung Lin , Tse-Chun Lin , Bin Miao","doi":"10.1016/j.jempfin.2024.101555","DOIUrl":"10.1016/j.jempfin.2024.101555","url":null,"abstract":"<div><div>We analyze whether the disaggregation quality (DQ) of a borrower's financial statement is associated with its bank loan pricing. We find that firms with high DQ have low spreads on their bank loans. This result is more pronounced for firms with positive financial prospects, higher risk, and no prior banking relationship with the lenders. Moreover, a high DQ is associated with a low total cost of borrowing, high credit rating, and low spreads on bond issues. Overall, our results show that disaggregated financial statements facilitate bank loan pricing by enabling lenders to make better predictions of their borrowers’ future performance.</div></div>","PeriodicalId":15704,"journal":{"name":"Journal of Empirical Finance","volume":"79 ","pages":"Article 101555"},"PeriodicalIF":2.1,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142424067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-24DOI: 10.1016/j.jempfin.2024.101554
Yao Ge , Wei Huang , Zheng Qiao , Hao Zheng
To capture local labor market pooling in agglomeration economics, we employ segment information and occupation statistics to construct firm-pair labor force similarities. Our findings indicate a positive relation between local labor market thickness and corporate investment, influenced by both employer-driven labor demand and employee-driven labor supply. The findings are more pronounced in firms with more skilled labor, less routine-task labor, and higher product and technology competitions. Firms in thicker local labor markets also display higher investment efficiency, higher operating efficiency, and higher valuation. To mitigate the endogeneity concern, we employ an instrumental variable approach to show robustness. Overall, we uncover a specific linkage between the local labor market and corporate investment.
{"title":"Local labor market and corporate investment","authors":"Yao Ge , Wei Huang , Zheng Qiao , Hao Zheng","doi":"10.1016/j.jempfin.2024.101554","DOIUrl":"10.1016/j.jempfin.2024.101554","url":null,"abstract":"<div><div>To capture local labor market pooling in agglomeration economics, we employ segment information and occupation statistics to construct firm-pair labor force similarities. Our findings indicate a positive relation between local labor market thickness and corporate investment, influenced by both employer-driven labor demand and employee-driven labor supply. The findings are more pronounced in firms with more skilled labor, less routine-task labor, and higher product and technology competitions. Firms in thicker local labor markets also display higher investment efficiency, higher operating efficiency, and higher valuation. To mitigate the endogeneity concern, we employ an instrumental variable approach to show robustness. Overall, we uncover a specific linkage between the local labor market and corporate investment.</div></div>","PeriodicalId":15704,"journal":{"name":"Journal of Empirical Finance","volume":"79 ","pages":"Article 101554"},"PeriodicalIF":2.1,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142315743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}