Pub Date : 2021-01-21DOI: 10.1177/0972652720969511
Nilesh Gupta, Joshy Jacob
Investors with lottery preferences are known to concentrate on stocks with rare but extreme past returns. We investigate the extent to which lottery preference, measured by the MAX variable, varies with the market-wide irrational sentiment. We find that the high-MAX stocks have higher overpricing in a high-sentiment market and earn a lower alpha, compared to the low-sentiment market. Accordingly, the poor returns earned by a long-short portfolio of stocks with extreme MAX values are primarily due to the overvaluation of the high MAX-portfolio during the high sentiment phase. The higher stock volatility in India also magnifies the lottery preference of investors. JEL Classification: G4, G12, G41, G11
{"title":"The Interplay Between Sentiment and MAX: Evidence from an Emerging Market","authors":"Nilesh Gupta, Joshy Jacob","doi":"10.1177/0972652720969511","DOIUrl":"https://doi.org/10.1177/0972652720969511","url":null,"abstract":"Investors with lottery preferences are known to concentrate on stocks with rare but extreme past returns. We investigate the extent to which lottery preference, measured by the MAX variable, varies with the market-wide irrational sentiment. We find that the high-MAX stocks have higher overpricing in a high-sentiment market and earn a lower alpha, compared to the low-sentiment market. Accordingly, the poor returns earned by a long-short portfolio of stocks with extreme MAX values are primarily due to the overvaluation of the high MAX-portfolio during the high sentiment phase. The higher stock volatility in India also magnifies the lottery preference of investors. JEL Classification: G4, G12, G41, G11","PeriodicalId":44100,"journal":{"name":"Journal of Emerging Market Finance","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2021-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0972652720969511","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41301973","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}
Pub Date : 2020-12-14DOI: 10.1177/0972652720923544
Zhi Dong, T. Sing
There are limitations in the understandings of investors’ overreaction to the volatility in less transparent industrial sectors. Investors investing in a less transparent sector are likely to over-interpret available market information. This article compares investors’ reaction to market shocks across different industrial sectors, through analyzing the information content in implied volatility using financial derivatives of individual companies in Singapore. Investors in the less transparent property and financial service sector are found to overreact on market shocks, further destabilizing the market. The findings imply that regulatory measures that increase the level of transparency could aid the stabilization of markets. JEL Classification: G13, G14, G18
{"title":"Do Investors Overreact for Property and Financial Service Sectors?","authors":"Zhi Dong, T. Sing","doi":"10.1177/0972652720923544","DOIUrl":"https://doi.org/10.1177/0972652720923544","url":null,"abstract":"There are limitations in the understandings of investors’ overreaction to the volatility in less transparent industrial sectors. Investors investing in a less transparent sector are likely to over-interpret available market information. This article compares investors’ reaction to market shocks across different industrial sectors, through analyzing the information content in implied volatility using financial derivatives of individual companies in Singapore. Investors in the less transparent property and financial service sector are found to overreact on market shocks, further destabilizing the market. The findings imply that regulatory measures that increase the level of transparency could aid the stabilization of markets. JEL Classification: G13, G14, G18","PeriodicalId":44100,"journal":{"name":"Journal of Emerging Market Finance","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0972652720923544","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45276832","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}
Pub Date : 2020-11-13DOI: 10.1177/0972652720969519
N. Asmuni, K. S. Tan
This article aims to shed light on the differences in yield rate between conventional bond and sukuk in the Malaysian market. We find that the historical yield rates for the government-issued sukuk is significantly higher than the conventional bond. Conversely, there is a slight yield spread discount between the corporate-issued sukuk and bonds for all rating classes. We conclude that liquidity factor can mainly explain the positive yield spread on the government-issued sukuk. We also illustrate the effect of tax and expenses on asset pricing, which may contribute to the yield spread discount for corporate issuance. JEL Classification: E43, G12, G13
{"title":"Exploring the Yield Spread Between Sukuk and Conventional Bonds in Malaysia","authors":"N. Asmuni, K. S. Tan","doi":"10.1177/0972652720969519","DOIUrl":"https://doi.org/10.1177/0972652720969519","url":null,"abstract":"This article aims to shed light on the differences in yield rate between conventional bond and sukuk in the Malaysian market. We find that the historical yield rates for the government-issued sukuk is significantly higher than the conventional bond. Conversely, there is a slight yield spread discount between the corporate-issued sukuk and bonds for all rating classes. We conclude that liquidity factor can mainly explain the positive yield spread on the government-issued sukuk. We also illustrate the effect of tax and expenses on asset pricing, which may contribute to the yield spread discount for corporate issuance. JEL Classification: E43, G12, G13","PeriodicalId":44100,"journal":{"name":"Journal of Emerging Market Finance","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0972652720969519","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45882790","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}
Pub Date : 2020-09-15DOI: 10.1177/0972652720944329
Satish Kumar, V. Madhavan, R. Sureka
This study provides a comprehensive overview of the prominent trends and thematic structure of the Journal of Emerging Market Finance (JEMF). The article uses bibliometric methodology and in doing so, considers measures such as, but not limited to, h-index, annual publications and citation structure, total citations, citation per publication ratio, most productive authors, institutions and countries, and keyword analysis. The thematic structure of the journal is identified using bibliometric coupling analysis of JEMF articles. Findings suggest that there is an increasing trend in JEMF’s count of publication and citation per year. Researchers from India, UK and the USA are frequent contributors to the journal. Issues mostly addressed in the journal include bank penetration, stock price volatility, calendar anomalies, credit default swaps, market efficiency, asset pricing models, and enterprise risk management. This study will be useful for the readers to gain a quick snapshot of the leading trends of the journal and its recent areas of interest. Finally, the study’s findings would aid the editorial team in taking stock of the journal, its past trajectory, and the road ahead, keeping in view contemporary developments in financial markets in general and emerging markets in particular. JEL Codes: G01, G10, G20
{"title":"The Journal of Emerging Market Finance: A Bibliometric Overview (2002–2019)","authors":"Satish Kumar, V. Madhavan, R. Sureka","doi":"10.1177/0972652720944329","DOIUrl":"https://doi.org/10.1177/0972652720944329","url":null,"abstract":"This study provides a comprehensive overview of the prominent trends and thematic structure of the Journal of Emerging Market Finance (JEMF). The article uses bibliometric methodology and in doing so, considers measures such as, but not limited to, h-index, annual publications and citation structure, total citations, citation per publication ratio, most productive authors, institutions and countries, and keyword analysis. The thematic structure of the journal is identified using bibliometric coupling analysis of JEMF articles. Findings suggest that there is an increasing trend in JEMF’s count of publication and citation per year. Researchers from India, UK and the USA are frequent contributors to the journal. Issues mostly addressed in the journal include bank penetration, stock price volatility, calendar anomalies, credit default swaps, market efficiency, asset pricing models, and enterprise risk management. This study will be useful for the readers to gain a quick snapshot of the leading trends of the journal and its recent areas of interest. Finally, the study’s findings would aid the editorial team in taking stock of the journal, its past trajectory, and the road ahead, keeping in view contemporary developments in financial markets in general and emerging markets in particular. JEL Codes: G01, G10, G20","PeriodicalId":44100,"journal":{"name":"Journal of Emerging Market Finance","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0972652720944329","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46031300","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}
Pub Date : 2020-08-23DOI: 10.1177/0972652720927856
Shesadri Banerjee, J. Anand, S. Bhide
The widespread impacts of global financial crisis (2008-09) reinstate the need for better assessment of the macro-financial linkages for forecasting and policy evaluation. Our paper contributes to the relevant literature with evidence from the Indian financial sector. Following Castelnuovo (2013), a New Keynesian model with macro-financial linkages is estimated by the Bayesian technique for the sample period 2004: Q3 to 2019: Q1. We find that, in an Emerging Market Economy like India, business cycle leads financial cycle through the channel of expectations. Further, our results show that the linkages are heterogeneous in size depending on the financial market segment and market-specific shocks. JEL Codes: C11, E44, G10
{"title":"Estimation of Macro-financial Linkages for the Indian Economy","authors":"Shesadri Banerjee, J. Anand, S. Bhide","doi":"10.1177/0972652720927856","DOIUrl":"https://doi.org/10.1177/0972652720927856","url":null,"abstract":"The widespread impacts of global financial crisis (2008-09) reinstate the need for better assessment of the macro-financial linkages for forecasting and policy evaluation. Our paper contributes to the relevant literature with evidence from the Indian financial sector. Following Castelnuovo (2013), a New Keynesian model with macro-financial linkages is estimated by the Bayesian technique for the sample period 2004: Q3 to 2019: Q1. We find that, in an Emerging Market Economy like India, business cycle leads financial cycle through the channel of expectations. Further, our results show that the linkages are heterogeneous in size depending on the financial market segment and market-specific shocks. JEL Codes: C11, E44, G10","PeriodicalId":44100,"journal":{"name":"Journal of Emerging Market Finance","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2020-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0972652720927856","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47120677","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}
Pub Date : 2020-08-01DOI: 10.1177/0972652720927623
M. Thenmozhi, Shipra Maurya
This study examines the time-varying price risk transmission in the nexus between crude oil and agricultural commodity prices in the context of non-grain-based biofuel producing country. Analysis of the short- and long-run dynamics of volatility in both spot and futures markets of maize, soybean and wheat and crude oil prices using the multivariate BEKK-GARCH model, indicate volatility spillover from wheat futures to crude oil futures in the short run and from crude oil futures to futures markets of maize, soybean and wheat in the long run. The spot market linkage of selected commodities is weaker compared to futures market, wherein maize spot volatility transmits to crude oil spot market in the longer period and no spillover between crude oil-food spot market is observed in the short run. The hedge ratios indicate that a dynamic hedging strategy is crucial for efficient risk management and the portfolio weights in futures market are more than the spot market. The results reveal that cross-market volatility spillover is more evident in the futures market, while own past conditional volatility is more significant in spot price discovery and risk transmission is evident among food commodities futures markets. JEL Codes: G13, G14, Q11, Q18, Q02
{"title":"Crude Oil Volatility Transmission Across Food Commodity Markets: A Multivariate BEKK-GARCH Approach","authors":"M. Thenmozhi, Shipra Maurya","doi":"10.1177/0972652720927623","DOIUrl":"https://doi.org/10.1177/0972652720927623","url":null,"abstract":"This study examines the time-varying price risk transmission in the nexus between crude oil and agricultural commodity prices in the context of non-grain-based biofuel producing country. Analysis of the short- and long-run dynamics of volatility in both spot and futures markets of maize, soybean and wheat and crude oil prices using the multivariate BEKK-GARCH model, indicate volatility spillover from wheat futures to crude oil futures in the short run and from crude oil futures to futures markets of maize, soybean and wheat in the long run. The spot market linkage of selected commodities is weaker compared to futures market, wherein maize spot volatility transmits to crude oil spot market in the longer period and no spillover between crude oil-food spot market is observed in the short run. The hedge ratios indicate that a dynamic hedging strategy is crucial for efficient risk management and the portfolio weights in futures market are more than the spot market. The results reveal that cross-market volatility spillover is more evident in the futures market, while own past conditional volatility is more significant in spot price discovery and risk transmission is evident among food commodities futures markets. JEL Codes: G13, G14, Q11, Q18, Q02","PeriodicalId":44100,"journal":{"name":"Journal of Emerging Market Finance","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0972652720927623","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45475866","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}
Pub Date : 2020-08-01DOI: 10.1177/0972652719877473
M. Graham, Jussi Nikkinen, J. Peltomäki
This article considers web-based global investors’ crash fears as a gauge of global investors’ fears, and examines its effect on stock market volatility in a sample of emerging stock markets. We show that an increase in global investors’ crash fears significantly affects the volatility of stock index returns in emerging markets. The results are robust to the inclusion of the conventional investor sentiment/fear gauge measure, VIX. Thus broadening the set of measures of global investors’ fears is important when explaining emerging market volatilities. JEL Classification: F30, G11, G15
{"title":"Web-Based Investor Fear Gauge and Stock Market Volatility: An Emerging Market Perspective","authors":"M. Graham, Jussi Nikkinen, J. Peltomäki","doi":"10.1177/0972652719877473","DOIUrl":"https://doi.org/10.1177/0972652719877473","url":null,"abstract":"This article considers web-based global investors’ crash fears as a gauge of global investors’ fears, and examines its effect on stock market volatility in a sample of emerging stock markets. We show that an increase in global investors’ crash fears significantly affects the volatility of stock index returns in emerging markets. The results are robust to the inclusion of the conventional investor sentiment/fear gauge measure, VIX. Thus broadening the set of measures of global investors’ fears is important when explaining emerging market volatilities. JEL Classification: F30, G11, G15","PeriodicalId":44100,"journal":{"name":"Journal of Emerging Market Finance","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0972652719877473","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47429735","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}
Pub Date : 2020-07-17DOI: 10.1177/0972652720932772
Z. Raja, William J. Procasky, Renee Oyotode-Adebile
Extant literature reports mixed findings on the relative efficiency of credit default swaps (CDS) and bond markets in pricing emerging market sovereign credit risk. Using a more comprehensive data set than analyzed earlier, we reexamine this issue and find that CDS dominate bonds in the price discovery of this risk, an advantage we attribute to the greater relative liquidity of that market. One exception is during the financial crisis, suggesting that when panic hits, sovereign markets price credit risk differently. However, even then, the CDS market has a greater impact on price discovery than the bond market, indicating greater overall efficiency. JEL Classification: G11, G12, G13, G14, G23
{"title":"The Relative Role of Sovereign CDS and Bond Markets in Efficiently Pricing Emerging Market Sovereign Credit Risk","authors":"Z. Raja, William J. Procasky, Renee Oyotode-Adebile","doi":"10.1177/0972652720932772","DOIUrl":"https://doi.org/10.1177/0972652720932772","url":null,"abstract":"Extant literature reports mixed findings on the relative efficiency of credit default swaps (CDS) and bond markets in pricing emerging market sovereign credit risk. Using a more comprehensive data set than analyzed earlier, we reexamine this issue and find that CDS dominate bonds in the price discovery of this risk, an advantage we attribute to the greater relative liquidity of that market. One exception is during the financial crisis, suggesting that when panic hits, sovereign markets price credit risk differently. However, even then, the CDS market has a greater impact on price discovery than the bond market, indicating greater overall efficiency. JEL Classification: G11, G12, G13, G14, G23","PeriodicalId":44100,"journal":{"name":"Journal of Emerging Market Finance","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2020-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0972652720932772","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47963864","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}
Pub Date : 2020-07-09DOI: 10.1177/0972652720932783
Francesca Battaglia, Marika Carboni, A. Cicchiello, S. Monferrà
Corruption normally causes distrust among investors and can negatively affect investments. Particularly in Latin America, decline of investments is one of the most significant problems. In such a context, anti-corruption laws can both fight corruption and promote business, restoring investors’ trust. In this article, we ask whether the introduction of an anti-corruption framework affecting both the public and private spheres is able to increase investors’ confidence in a new form of investment, that is, equity crowdfunding. By using a unique database, with combined information from different platforms in Brazil, Chile and Mexico, we study the population of 492 projects between 2013 and 2017. Implementing a set of linear probability regressions, we find that the new Mexican anti-corruption law has increased the probability of success of equity crowdfunding projects in this country, compared to Brazilian and Chilean projects, suggesting the existence of a causal relation between anti-corruption rules and investments in a highly perceived corrupt environment further characterised by a low level of investor protection. JEL Classification: G23, G28, K22, L26
{"title":"Assessing the Effects of Anti-corruption Law on Entrepreneurial Finance: Evidence from Latin America","authors":"Francesca Battaglia, Marika Carboni, A. Cicchiello, S. Monferrà","doi":"10.1177/0972652720932783","DOIUrl":"https://doi.org/10.1177/0972652720932783","url":null,"abstract":"Corruption normally causes distrust among investors and can negatively affect investments. Particularly in Latin America, decline of investments is one of the most significant problems. In such a context, anti-corruption laws can both fight corruption and promote business, restoring investors’ trust. In this article, we ask whether the introduction of an anti-corruption framework affecting both the public and private spheres is able to increase investors’ confidence in a new form of investment, that is, equity crowdfunding. By using a unique database, with combined information from different platforms in Brazil, Chile and Mexico, we study the population of 492 projects between 2013 and 2017. Implementing a set of linear probability regressions, we find that the new Mexican anti-corruption law has increased the probability of success of equity crowdfunding projects in this country, compared to Brazilian and Chilean projects, suggesting the existence of a causal relation between anti-corruption rules and investments in a highly perceived corrupt environment further characterised by a low level of investor protection. JEL Classification: G23, G28, K22, L26","PeriodicalId":44100,"journal":{"name":"Journal of Emerging Market Finance","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2020-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0972652720932783","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48447916","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}
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