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":"19 1","pages":"326 - 352"},"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":"20 1","pages":"7 - 47"},"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":"20 1","pages":"131 - 164"},"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":"19 1","pages":"127 - 153"},"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":"19 1","pages":"296 - 325"},"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":"20 1","pages":"48 - 78"},"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}
Pub Date : 2020-07-09DOI: 10.1177/0972652720930586
A. Sampath, A. Gopalaswamy
In this article, we investigate patterns in returns, volume and volatility and analyse the volume–return relationship using tick-by-tick data from the Indian equity market. Based on descriptive measures and regression frameworks, we document three important findings. First, we report unusually high volatility, trading volume and number of trades during the opening and closing minutes of the market depicting a ‘U’-shaped curve, implying high market activity during these periods. Second, while accounting for trading volume, we observe that volatility is not significantly different between mid-day period and evening period as compared to the normal ‘U’ curve. Finally, we document a significant positive relationship between intraday volume and price movements controlling for microstructure effects. The impact of positive returns on trading volume is higher than the impact of negative returns, implying the presence of return–volume asymmetry in the Indian market. JEL Codes: G12, G15
{"title":"Intraday Variability and Trading Volume: Evidence from National Stock Exchange","authors":"A. Sampath, A. Gopalaswamy","doi":"10.1177/0972652720930586","DOIUrl":"https://doi.org/10.1177/0972652720930586","url":null,"abstract":"In this article, we investigate patterns in returns, volume and volatility and analyse the volume–return relationship using tick-by-tick data from the Indian equity market. Based on descriptive measures and regression frameworks, we document three important findings. First, we report unusually high volatility, trading volume and number of trades during the opening and closing minutes of the market depicting a ‘U’-shaped curve, implying high market activity during these periods. Second, while accounting for trading volume, we observe that volatility is not significantly different between mid-day period and evening period as compared to the normal ‘U’ curve. Finally, we document a significant positive relationship between intraday volume and price movements controlling for microstructure effects. The impact of positive returns on trading volume is higher than the impact of negative returns, implying the presence of return–volume asymmetry in the Indian market. JEL Codes: G12, G15","PeriodicalId":44100,"journal":{"name":"Journal of Emerging Market Finance","volume":"19 1","pages":"271 - 295"},"PeriodicalIF":1.5,"publicationDate":"2020-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0972652720930586","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46049918","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 : 2020-05-14DOI: 10.1177/0972652720913478
P. Viswanathan, S. Srinivasan, N. Hariharan
While earlier studies have focused excessively on bankruptcy prediction of banks, this study classifies banks based on their financial strength from the perspective of retail depositors who currently do not have an authentic guiding framework that helps them identify banks with higher risk profiles. Using machine learning techniques, we classify 44 Indian banks into distinct categories of financial health based on 12-year data from 2005 to 2017. We first use unsupervised learning to identify a pattern leading to logical groups in terms of financial health and then move to supervised learning for prediction. Using linear discriminant analysis (LDA), Classification and Regression Tree (CART) and Random Forest methods, we predict the cluster membership with the associated explanatory power alongside. We also compare our classification with the credit ratings awarded by rating agencies and highlight certain discrepancies that exist between what is predicted by our models and the credit rating awards. JEL Codes: C53; M10
{"title":"Predicting Financial Health of Banks for Investor Guidance Using Machine Learning Algorithms","authors":"P. Viswanathan, S. Srinivasan, N. Hariharan","doi":"10.1177/0972652720913478","DOIUrl":"https://doi.org/10.1177/0972652720913478","url":null,"abstract":"While earlier studies have focused excessively on bankruptcy prediction of banks, this study classifies banks based on their financial strength from the perspective of retail depositors who currently do not have an authentic guiding framework that helps them identify banks with higher risk profiles. Using machine learning techniques, we classify 44 Indian banks into distinct categories of financial health based on 12-year data from 2005 to 2017. We first use unsupervised learning to identify a pattern leading to logical groups in terms of financial health and then move to supervised learning for prediction. Using linear discriminant analysis (LDA), Classification and Regression Tree (CART) and Random Forest methods, we predict the cluster membership with the associated explanatory power alongside. We also compare our classification with the credit ratings awarded by rating agencies and highlight certain discrepancies that exist between what is predicted by our models and the credit rating awards. JEL Codes: C53; M10","PeriodicalId":44100,"journal":{"name":"Journal of Emerging Market Finance","volume":"19 1","pages":"226 - 261"},"PeriodicalIF":1.5,"publicationDate":"2020-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0972652720913478","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43778375","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 : 2020-05-09DOI: 10.1177/0972652719890750
Eric Fischer
This article examines the effect of Federal Reserve announcements on global financial flows to Latin America since the Global Financial Crisis. The Federal Reserve announcements are classified using daily measures of expectations from a shadow rate term structure model as easing (unexpected), tightening (unexpected), easing (expected), and tightening (expected). This classification is then used for an event study on daily global financial flows classified by asset class (debt, equity), currency (all currencies, hard currency, local currency), and region (Latin America, Brazil, and Mexico). The results suggest easing (unexpected) and tightening (unexpected) announcements cause debt outflows but have no effect on equity flows to Latin America. Local currency debt flows to Latin America are more sensitive than the hard currency debt flows and Brazil is the country in Latin America that responds most to these announcements. JEL Classification: F32, G14, G15, N26
{"title":"Monetary Surprises and Global Financial Flows: A Case Study of Latin America","authors":"Eric Fischer","doi":"10.1177/0972652719890750","DOIUrl":"https://doi.org/10.1177/0972652719890750","url":null,"abstract":"This article examines the effect of Federal Reserve announcements on global financial flows to Latin America since the Global Financial Crisis. The Federal Reserve announcements are classified using daily measures of expectations from a shadow rate term structure model as easing (unexpected), tightening (unexpected), easing (expected), and tightening (expected). This classification is then used for an event study on daily global financial flows classified by asset class (debt, equity), currency (all currencies, hard currency, local currency), and region (Latin America, Brazil, and Mexico). The results suggest easing (unexpected) and tightening (unexpected) announcements cause debt outflows but have no effect on equity flows to Latin America. Local currency debt flows to Latin America are more sensitive than the hard currency debt flows and Brazil is the country in Latin America that responds most to these announcements. JEL Classification: F32, G14, G15, N26","PeriodicalId":44100,"journal":{"name":"Journal of Emerging Market Finance","volume":"19 1","pages":"189 - 225"},"PeriodicalIF":1.5,"publicationDate":"2020-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0972652719890750","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42057019","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 : 2020-04-01DOI: 10.1177/0972652719877475
A. Sahasranaman, V. Prasad, Aditi Balachander
The design of housing solutions for low-income populations has been one of the most pressing policy concerns in developing countries like India. In this work, we explore the effect of risks confronting low-income households—unemployment, health and mortality—on their choice of housing arrangements. We use simulations to study the evolution of long-term wealth of a stylised low-income household faced with these risks and find that, on average, rental housing significantly reduces the risk of undesirable wealth fluctuations over time. From a policy perspective, this means greater focus and incentives for the development of low-income rental markets using strategies such as provision of rental vouchers, rent-to-own models or long-term leases, in addition to the traditional ownership-based housing strategies. The development of housing solutions encompassing a range of rental and ownership models will be critical to ensuring the availability of safe and affordable housing for all urban residents. JEL Codes: C63, O18
{"title":"Housing Choice as a Function of Risks Confronting Low-income Households","authors":"A. Sahasranaman, V. Prasad, Aditi Balachander","doi":"10.1177/0972652719877475","DOIUrl":"https://doi.org/10.1177/0972652719877475","url":null,"abstract":"The design of housing solutions for low-income populations has been one of the most pressing policy concerns in developing countries like India. In this work, we explore the effect of risks confronting low-income households—unemployment, health and mortality—on their choice of housing arrangements. We use simulations to study the evolution of long-term wealth of a stylised low-income household faced with these risks and find that, on average, rental housing significantly reduces the risk of undesirable wealth fluctuations over time. From a policy perspective, this means greater focus and incentives for the development of low-income rental markets using strategies such as provision of rental vouchers, rent-to-own models or long-term leases, in addition to the traditional ownership-based housing strategies. The development of housing solutions encompassing a range of rental and ownership models will be critical to ensuring the availability of safe and affordable housing for all urban residents. JEL Codes: C63, O18","PeriodicalId":44100,"journal":{"name":"Journal of Emerging Market Finance","volume":"19 1","pages":"100 - 118"},"PeriodicalIF":1.5,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/0972652719877475","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44810142","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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