Social Finance Hub

The academic resource hub for social finance researchers, connecting scholars with the latest working papers and datasets.

Latest Research

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Michael Haliassos, Thomas Jansson, Yigitcan Karabulut2025

We provide evidence for a new propagation mechanism of wealth inequality and mobility. Using unique administrative data and a quasi-field experiment of exogenous assignment, we find that educated entrants, faced with greater local wealth inequality and salient cases of wealth mobility, take financial, real, and self-employment risks and reach higher positions in the wealth distribution, while the less educated do not. This is driven by poorer communities with more salient cases of wealth mobility, consistent with peer exposure rather than supply-side effects. We find no evidence for other channels, such as obtaining higher-paying more secure jobs, relocating, or reducing debt.

Keywords:Household finance,wealth inequality,propagation of inequality,education,opportunity,refugees.
#Financing- and Investment Decisions (Individual)

Fiona Paine, Antoinette Schoar, David Thesmar2025

This paper tests how people's moral values influence their views of debt contracts. We ask participants to make decisions about debt contracts in different hypothetical situations (vignettes). We separately measure their moral values using the Moral Foundations Questionnaire (Graham et al., 2009). We have three main sets of findings. First, differences in moral values strongly explain the cross-section of participants' debt decisions. Participants with more conservative values show more support for credit score-based loan pricing, stricter forms of collateral, and tougher bankruptcy resolution. Second, when we randomly change the economic costs and benefits of debt within our vignettes, we find that participants change their answers in the direction predicted by economic theory. Third, participants' beliefs of the functioning of the credit market strongly correlate with their moral values. Participants with conservative values are more likely to believe that strict enforcement and risk-based loan pricing provide incentives and are economically efficient. More liberal participants believe that insurance against unlucky shocks are important. Consistent with moral values being distinct from Bayesian beliefs, financial literacy does not attenuate moral values in shaping beliefs about what is economically efficient.

#Consumer Decisions#Financing- and Investment Decisions (Individual)

Brad Cannon, David Hirshleifer, Joshua Thornton2025

Using friendship data from Facebook, we find that among three aspects of social capital, Economic Connectedness - the fraction of one's social network with high income, has the strongest and most robust relationship with stock market and saving participation. One standard-deviation greater Economic Connectedness is associated with 10.6% greater stock market participation and 9.2% greater saving participation. Evidence from non-local friendships supports a causal link between household financial behavior and the income of one's friends. Our results indicate that the effect of Economic Connectedness on participation derives from opportunities to interact with high-SES individuals rather than from class-based friending propensities.

#Financing- and Investment Decisions (Individual)#Consumer Decisions

Published Papers

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Zenan Zhou, Zhichen Chen, Yingjie Zhang, Tian Lu, Xianghua Lu2025

As emerging FinTech platforms face pressure in efficiently managing credit risk, the human emotional spectrum of FinTech platform borrowers within social media becomes a potential source for gaining insight into and evaluating their financial behaviors. Collaborating with an Asian FinTech platform, we investigate the impact of social media emotions on a platform's loan-approval decisions and repayment-reminder interventions before due dates. We demonstrate that anger at the pre-approval stage has a U-shaped relationship with platform borrowers' default probability. We reveal what we call "a bright side of anger" with respect to curbing financial credit risk: moderate intensity of anger at the pre-approval stage suggests a lower loan default probability. We also find that the average happiness tendency of platform delinquent borrowers' at the pre-maturity stage becomes informative and valuable, as it shows a U-shaped relationship with loan default; as for anger, it does not work therein. Furthermore, our field experiment indicates that a positive-expectation reminder is useful for prompting repayment when delinquent borrowers are in strong emotional intensities, regardless of anger or happiness. However, a negative-consequence reminder results in a higher default probability for delinquent borrowers who maintain high immediate happiness before the loan maturity dates. We draw on the classical appraisal theory of emotions and the feelings-as-information theory to interpret our findings. We offer non-trivial theoretical and practical implications to support FinTech platform credit risk decision-making by investigating the value of social media emotions and advocating for cross-functional coordination between debt approval and debt collection departments.

Keywords:Credit Risk Management,Decision-Making,Emotion,FinTech Business,Social Media
#Consumer Decisions#Financing- and Investment Decisions (Individual)#Manager & Firm Behavior

Manish Jha, Hongyi Liu, Asaf Manela2025

We measure popular sentiment toward finance by applying a large language model to millions of books published in eight countries over hundreds of years. We extensively validate this measure both internally and externally. We document persistent differences in finance sentiment across countries despite ample time-series variation. Books written in the languages of more capitalist countries discuss finance in a more positive context. Finance sentiment is correlated with survey-based measures of financial market participation and income inequality. Finance sentiment declines one year before rather than after financial crises. Positive shocks to finance sentiment are followed by higher output and credit growth.

#Consumer Decisions#Financing- and Investment Decisions (Individual)#Manager & Firm Behavior
The Impact of Word-of-Mouth Communication on Investors' Decisions and Asset Prices

Byoung-Hyoun Hwang2023Handbook of Financial Decision Making

I review the empirical literature on word of mouth (WOM) among investors. I begin with an outline of the empirical challenges that WOM research faces and possible strategies for overcoming those challenges. I then discuss recent studies on WOM among retail and institutional investors. The research to date provides compelling evidence that WOM importantly determines investment decisions. On balance, the information transmitted through WOM does not appear to help investors make better investment decisions. I explore possible reasons. I also discuss potential asset-pricing implications, the emergence of social technologies, and possible avenues for future research.

Keywords:Social finance,social asset pricing,investor psychology,investor behavior,asset prices
#Consumer Decisions#Financing- and Investment Decisions (Individual)#Investment Decisions (Institutional)
Behavioral and social corporate finance

Cronqvist, Pely2019Oxford Research Encyclopedia of Economics and Finance

Corporate finance is about understanding the determinants and consequences of the investment and financing policies of corporations. In a standard neoclassical profit maximization framework, rational agents, that is, managers, make corporate finance decisions on behalf of rational principals, that is, shareholders. Over the past two decades, there has been a rapidly growing interest in augmenting standard finance frameworks with novel insights from cognitive psychology, and more recently, social psychology and sociology. This emerging subfield in finance research has been dubbed behavioral corporate finance, which differentiates between rational and behavioral agents and principals. The presence of behavioral shareholders, that is, principals, may lead to market timing and catering behavior by rational managers. Such managers will opportunistically time the market and exploit mispricing by investing capital, issuing securities, or borrowing debt when costs of capital are low and shunning equity, divesting assets, repurchasing securities, and paying back debt when costs of capital are high. Rational managers will also incite mispricing, for example, cater to non-standard preferences of shareholders through earnings management or by transitioning their firms into an in-fashion category to boost the stock's price. The interaction of behavioral managers, that is, agents, with rational shareholders can also lead to distortions in corporate decision making. For example, managers may perceive fundamental values differently and systematically diverge from optimal decisions. Several personal traits, for example, overconfidence or narcissism, and environmental factors, for example, fatal natural disasters, shape behavioral managers' preferences and beliefs, short or long term. These factors may bias the value perception by managers and thus lead to inferior decision making. An extension of behavioral corporate finance is social corporate finance, where agents and principals do not make decisions in a vacuum but rather are embedded in a dynamic social environment. Since managers and shareholders take a social position within and across markets, social psychology and sociology can be useful to understand how social traits, states, and activities shape corporate decision making if an individual's psychology is not directly observable.

Keywords:behavioral finance,social finance,corporate finance,market efficiency,cognitive biases,limits of arbitrage,limits of governance
#Asset Pricing & Trading Volume and Market Efficiency#Manager & Firm Behavior#Propagation of Noise & Undesirable Outcomes#Social Network Structure#Social Transmission Biases#Theory#Investment Decisions (Institutional)

Featured Datasets & Tools

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Facebook Social Connectedness

Dataset

Bailey, Cao, Kuchler, Stroebel, Wong

The social connectedness index measures the strength of connectedness between two geographic areas as represented by Facebook friendship ties. SCI can reveal important insights about economics, social mobility, and health.

Ad Targeting Transparency

Dataset

Meta

Includes granular, ad-level targeting information for all social issue, electoral and political ads run across Meta's technologies since August 2020 in 120+ countries. The dataset is updated monthly and includes ad targeting criteria, such as age, gender, location, Custom Audience and Lookalike Audience inclusion or exclusion, and other detailed targeting selections (demographics, behaviors, or interests).

Coverage: Aug 2020 - present

taible.tech helps you efficiently build AI analysis frameworks, batch normalize table data, and rapidly obtain accurate, structured insights.

(A commercial product by the developers of this site.)

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Acknowledgment

USC Marshall School of Business

The Social Finance Hub has benefited from the generous support of the USC Marshall School of Business.