Thesis (Ph. D.)--Ohio State University, 2003. / Title from first page of PDF file. Document formatted into pages; contains xii, 89 p.; also includes graphics (some col.). Includes abstract and vita. Advisor: Lucia Dunn, Dept. of Economics. Includes bibliographical references (p. 82-84).

No description available.

<p>This dissertation explores the causes and consequences of real estate price fluctuations. Given the collapse of US house prices during 2007-2009 along with the simultaneous rise in national unemployment an thorough understanding of both the housing market and its relation to the labor market has perhaps never been more important. While this dissertation fits in the real estate finance literature, my broader purpose is to use to new micro-level data to empirically test the relevance of financial and macroeconomic theories. Chapter 2 offers evidence that small firms borrow against real estate holdings to pay employment and this collateral channel is responsible for 8-16% of the total decline in employment between 2007-2009. Chapter 3 develops the locally-weighted repeat sales technique, a new econometric estimation to price any real estate property by comparing the house to all properties on the market. We then apply the method to the US Housing Market and find that traditional aggregate house indices such as Case-Shiller have overestimated the bubble by 10%.. Chapter 4 uses new data on small firm financials to exhibit that home equity is a significant source of initial financing for large startups: specifically, in our preferred specification we find that a 100% increase in real estate price growth is responsible for an 11% increase in home equity financing among all entrepreneurs and a 21% increase for large start-ups.</p> / Dissertation

No description available.

Indebtedness of all subjects of the economy is recently a closely watched topic. The content of this work is the analysis of the consumer-finance market in the Czech Republic. This analysis is carried out in the period 2006 - 2010 and allows monitoring the consequences of the financial crisis. The second part is focused on product comparison between Cetelem ČR, a.s. and its competitors in the market. In conclusion there is the financial analysis of the company Cetelem using data from its annual reports.

Thesis advisor: Philip E. Strahan / My dissertation consists of two chapters. In the first chapter, I show that the growing trend in financial services digitalization has introduced a new dimension along which commercial banks compete, with consequences for the local economy. Small community banks (SCBs) are slow to implement mobile technologies and lose deposits to larger, better-digitalized banks following mobile infrastructure improvements. This dynamic negatively affects their small business lending, for they have historically relied on information and liquidity synergies with deposits to maintain their competitive advantage in such markets. Larger banks and FinTech firms prove to be imperfect substitutes in this setting, and the local economy benefits less from digitalization in areas where SCBs had an important presence before its advent. The second chapter, co-authored with Prof. Rawley Heimer, focuses on the outcomes of consumers' efforts to achieve restitution for disputed financial services. We find that complaints filed with the Consumer Financial Protection Bureau (CFPB) from low-income and Black zip codes are 30% less likely to be resolved with the consumer receiving financial restitution. The gap in financial restitution was scarcely present under the Obama administration, but grew substantially under the Trump administration. We attribute the change in financial restitution under different political regimes to companies anticipating a more industry-friendly CFPB, as well as to the more industry-friendly leadership of the CFPB achieving less financial restitution for low-income and Black filers. The financial restitution gap cannot be explained by differences in product usage nor the quality of complaints, which we measure using textual analysis. / Thesis (PhD) — Boston College, 2023. / Submitted to: Boston College. Carroll School of Management. / Discipline: Finance.

Financial inclusion has gained recognition as both a domestic and international governance objective. However, full participation in the financial sector remains an elusive goal, and a number of significant questions present themselves regarding defining the scope of financial inclusion and formulating efficacious policy to ensure access to and promoting the usage of financial services. Paramount among these questions is the relationship between the geographic aspects of retail financial markets and consumer outcomes including rates of savings and indebtedness, the types of consumer credit utilized, and levels of unbanked and underbanked populations. The central aim of this research is to address this lack of understanding by using quantitative analytical tools including geographic information systems (GIS) and spatial regression analysis to examine relationships between the uneven geography of retail financial services, mortgage lending activity, and sociodemographic variables. Four metropolitan study areas in the United States—Las Vegas, Nevada; Los Angeles, California; Miami, Florida; and Philadelphia, Pennsylvania—are examined in order to address a range of question related to the neighborhood level determinants of financial inclusion. This study will provide a foundation for improving policy solutions through contributing to the understanding of how data-driven and analytical approaches can be applied to this problem. Specifically, the following research questions are addressed: 1) How does the spatial distribution of mainstream financial institutions (banks and credit unions) and alternative financial service providers (AFSPs) contribute to financial inclusion at the neighborhood level? What is the geographic relationship between these services; and how does access to these services interact with neighborhood demographic variables and mortgage lending activity? 2) How can traditional approaches to spatial analysis of mortgage lending be improved and expanded to incorporate new spatial analysis methods and better understand how mortgage credit denial and subprime lending interact with one another, as well as with neighborhood demographic variables? Building on scholarship in the academic areas of community reinvestment, asset building, and economic geography, this research contributes a number of new insights and refinements in methodology. The results of spatial regression analyses reveal significant predictive relationships, even after controlling for sociodemographic variables and spatial clustering by using simultaneous autoregressive (SAR) models. This research is unique in its examination of the relationship between the landscape of financial services in neighborhoods and mortgage lending activity, and finds that increasing levels of subprime mortgage lending in neighborhoods is predictive of nearer distance to AFSPs. Another finding is that higher percentages of black and Latino populations in neighborhoods are predictive of nearer proximity to AFSPs and greater distances to mainstream brick-and-mortar financial institution locations. A new method is developed to address the spatial void hypothesis, the spatial relationship between mainstream financial institutions and AFSPs. The results of binary logistic regression models indicate that neighborhoods where alternative service providers are more prevalent comparatively feature lower average income levels, higher percentages of minority residents, lower levels of educational attainment, and higher levels of both mortgage application denial and subprime mortgage lending. Advances are also made in developing regression models to address relationships between sociodemographic variables and mortgage lending activity. Using SAR modeling, this study finds that mortgage purchase denial is a strong predictor of subprime lending for home purchase and refinance loans. Confirming prior research findings with a new method, the percentage of the population that is black and Latino is found to be a statistically significant predictor of mortgage purchase denial, as well as rates of subprime mortgage purchase lending. / Geography

While the saving environment has become more complex in recent years, so has the demand for individual activity. Important impetuses include financial deregulation, globalization, technological change, and reformed pension systems. Financial institutions can provide financial advisory services to help their customers to obtain positive net benefits by avoiding mistakes and using economies of scale, and they can also attract and maintain their customers by creating strong relationships. Earlier studies show that the incentive structure often leads to advice that is not to the benefit of the customers. In addition, not all customers seek and receive advisory services. The objective of this study is to increase our understanding of the relationship between the bank advisor – customer relation and the bank customer’s saving behavior. The scope of the study is to analyze relevant theories and develop a model that includes financial advisors as a mediator of saving behavior, and to understand the relational attributes that can affect saving behavior. Also, the characteristics of customers with a relational versus a transactional exchange form with the bank are explored. Given the problems of establishing causality, the scope is also to understand the impact of the relationship and, in particular, face-to-face advisory meetings on saving behavior. The analysis is mainly carried out with the help of customer data – both objective bank register data and subjective survey data – while the advisor characteristics are to a lesser extent part of the data material. Five studies are carried out using various methodologies, i.e., theoretical review and model development, probit and multinomial logistic regressions, difference-in-difference regression, and structural equation modelling. In addition, a case study is made analyzing dyads of customers and advisors in order to explore theoretical assumptions. Economics and relationship marketing are used to explain saving behavior with transactional, interimistic relational, and enduring relational exchange forms (Paper 1). Several major findings emerge in the quantitative analysis: First, the attributes are longer and stronger, the more relational the exchange form is (Paper 2). A second finding is that relational attributes also surface in transactional exchange, a finding that requires further research to be understood in more detail (Paper 2). Third, among relational attributes, duration and context have the largest total effects on saving behavior, while trust is a mediating variable (Paper 5). Fourth, not only demographic and socioeconomic factors can predict whether customers use the relational exchange form; psychological factors, such as saving motives and risk attitudes, are also predictors. Results are clearly different for women and men (Paper 3). Finally, financial advisory meetings are found to increase saving volumes and saving products held in stock. The largest effects are found for young customers with low wealth and low profitability to the bank, i.e., customers who initially have low activity levels and thus create a large potential (Paper 4). Limitations include endogeneity problems in general, and selection bias in particular, making it difficult to establish causality, and internal and external validity. Future research should focus on data management, especially building time series with enhanced methods to adjust for selection bias. In addition, studies to better understand the transactional exchange form are needed, as well as studies that deepen the definition of relational exchange, not least when alternative channels to face-to-face meetings include mobile banking and internet banking, and the digitalization of  the social know-how of financial advisors. Managerial implications include understanding the relational attributes that affect saving behavior, such as context, duration, and trust. Also useful to know are the factors that can help to predict the probability of a customer’s having a transactional or relational exchange form, i.e., including demographics, socioeconomics, psychology, and gender, to see how channels and customers can be better matched. Policy implications include using the model in this study to match relational attributes to the degree of financial literacy, since the risk of misselling is particularly large for relational-oriented customers with low financial literacy. / Samtidigt som sparandet har blivit mer komplext under senare år, har behovet av individens egen aktivitet ökat. Viktiga drivkrafter för denna utveckling har varit finansiell avreglering, globalisering, teknisk utveckling och reformerade pensionssystem. Finansiella institutioner kan erbjuda finansiell rådgivning för att hjälpa kunderna erhålla positiv nettonytta genom att de då kan undvika att göra vanliga misstag och kan få skalfördelar med ökad tillgång till information. Genom att skapa starka kundrelationer kan dessa institutioner också använda rådgivningen för att attrahera och behålla kunder. Tidigare studier visar att incitamentsstrukturen ofta leder till att rådgivningen missgynnar kunderna. Det är heller inte alla kunder som söker och får tillgång till rådgivning. Syftet med denna avhandling är att öka förståelsen för sambanden mellan bankkundens sparbeteende, finansiell rådgivning och relationen mellan bankrådgivaren och kunden. I avhandlingens omfång ingår att analysera teorier, utveckla en modell som inkluderar finansiella rådgivare som intermediärer till sparbeteende samt förstå de relationsattribut som kan påverka sparbeteendet. Dessutom görs jämförelser mellan kunders karaktäristika utifrån deras utbytesform. Med hänsyn tagen till svårigheterna att fastställa kausalitet ingår även att förstå hur relationen i allmänhet, och rådgivningsmöten i synnerhet, påverkar sparbeteendet. Analyser görs med hjälp av kunddata, både objektiva registerdata och subjektiva enkätdata, medan karaktäristiska för rådgivarna i mindre utsträckning finns med i datamaterialet. Fem studier utförs som använder olika metoder, såsom teoretisk genomgång och modellutveckling, probit- och multinomiala logitregressioner, ”difference-in-difference” regressioner samt struktur-ekvationsmodellering. Inledningsvis gjordes också en fallstudie som analyserade dyader av bank-kunder och rådgivare för att undersöka teoretiska antaganden. Det framkommer att national-ekonomi och relationsmarknadsföring tillsammans kan användas för att förklara sparbeteende med hjälp av tre utbytesformer (transaktion, interimistisk relation, djupgående relation) (Art. 1). Ju mer relation utbytesformen innehåller, desto längre och större är relationsattributen (Art. 2). Relations-attribut finns också representerade i transaktionsutbytet, ett resultat som kräver ytterligare forskning (Art. 2). För det tredje framkommer att bland relationsattributen är duration och kontext viktigast för att förklara sparbeteendet, följt av förtroende som är en intermediär variabel (Art. 5). För det fjärde framkommer att förutom demografiska och socioekonomiska faktorer är psykologiska faktorer, såsom sparmotiv och riskpreferenser, prediktorer för utbytesform. Resultaten är markant olika för män och kvinnor (Art. 3). Slutligen, givet endogenitetsproblem, syntes finansiella rådgivningsmöten öka sparvolymer och antal produkter som bankkunder använder. De största effekterna observeras för unga, personer med låga förmögenheter samt personer med låg lönsamhet för banken, d v s kunder som initialt har en låg aktivitetsnivå men som utgör en potential (Art. 4). Begränsningar i studierna handlar om endogenitetsproblemen i allmänhet, och selektions-svårigheter i synnerhet, vilka gör det svårt att fastställa kausalitet och vilka begränsar extern och intern validitet. Framtida forskning bör därför fokusera på datahanteringen genom att bygga upp tidsseriedata och utveckla metoder som justerar för selektionsproblem. Dessutom behöver transaktionsattributen studeras. Samtidigt är studier som fördjupar förståelsen kring relationen viktiga, inte minst som alternativa kanaler till mänskliga rådgivningsmöten – såsom mobilbank och internetbank – snabbt vinner gehör i bankerna och bland kunderna.     Avhandlingens implikationer för bankledningar inkluderar ett ramverk som kan användas för hur relationen och dess attribut påverkar sparbeteendet, såsom duration, kontext och förtroende. Vidare är det användbart att förstå de faktorer som predicerar sannolikheten att kunden har en relations- eller transaktionsutbytesform, och de inkluderar demografi, socioekonomiska faktorer, psykologi och genus, inte minst som behovet att bättre matcha kanaler med kunder ökar. För politiska beslutsfattare kan avhandlingens modell användas för att matcha relationsattribut till graden av finansiell förmåga, inte minst som risken för ”misselling” är särskilt stor för relationsorienterade kunder med låg finansiell läsförmåga. / <p>QC 20150327</p>

Made available in DSpace on 2016-03-15T19:26:00Z (GMT). No. of bitstreams: 1 Rafael Picchioni Tavares.pdf: 374508 bytes, checksum: b3aba124f1b6628e3b78b40273d1b848 (MD5) Previous issue date: 2012-08-17 / This study examines efficiency applying the method of data envelopment analysis (DEA) in branches database of a consumer finance company. It presents various perspectives on the analysis of organizational performance, identifying the pros and cons of each perspective in comparative study of performance of business units concluding with the justification for the application of DEA. The sample includes information from 98 branches of a consumer finance company with operations in Brazil, with annual data from 2010 and 2011. It is also analyzed changes in efficiency between 2010 and 2011 using Malmquist index and its components. It is investigated different approaches of efficiency, as, for example, the operational and financial and its linear relationship with the input variables or outputs. - The index of correlation and linear regression analyzes seek to identify the relationship between resources used (inputs) and results (outputs) with the efficiency index. Finally, the results are compared using DEA with the current method adopted by the company for branch performance analysis based on the profitability. The results suggest that, when it adopted the criteria of profitability, there is a favoring of large branches. In contrast, it is not observed DEA favoring any branch depending on its size. Another important result was the indication that policies to reduce expenses through staff cuts may cause a worsening of financial efficiency. Another warning to senior management is the fact that the branches had a worse gap relating to efficient frontier from 2010 to 2011. / Este estudo analisa eficiência utilizando o método de Análise Envoltória de Dados (DEA Data Envelopment Analysis) com aplicação em uma base de dados de filiais de uma sociedade de crédito. São apresentadas diversas perspectivas de análise de desempenho organizacional, identificando os prós e os contras de cada perspectiva no estudo comparativo de desempenho de unidades de negócio, concluindo com a justificativa para a aplicação do DEA. A amostra deste estudo compreende informações de 98 filiais de uma sociedade de crédito com atuação no Brasil, com dados anuais de 2010 e 2011. São analisadas também as mudanças de eficiência entre 2010 e 2011 pelo Índice de Malmquist e seus componentes. São investigados diferentes tipos de abordagem de eficiência; como, por exemplo, a operacional e a financeira e sua relação linear com variáveis de input ou output. - A partir de índices de correlação e de análises de regressão linear busca-se identificar o relacionamento entre os recursos utilizados (inputs) ou resultados obtidos (outputs) com os índices de eficiência. Finalmente, são comparados os resultados encontrados na utilização do DEA com o atual método, baseado na lucratividade, adotado pela empresa para análise de desempenho das filiais. Os resultados sugerem que, quando é adotado o critério de lucratividade, há um favorecimento das filiais grandes. Em contrapartida, com o método DEA, não se observa o favorecimento em função do tamanho. Outro resultado importante foi a indicação de que políticas de redução de despesa por de cortes de pessoal podem causar piora na eficiência financeira. Outro alerta para a alta gestão é o fato de as filiais apresentarem um distanciamento da fronteira de eficiência de 2010 para 2011.

No description available.