Biao Yang

Biao Yang

Assistant Professor in Finance, Shanghai Jiao Tong University

Working Papers

The Spillover of Corporate ES on Cost of Debt (R&R at Management Science)

Co-authored with Danmo Lin (Warwick Business School, UK) and Siti Farida (Birmingham Business School, UK). SSRN

Abstract We examine how corporate environmental and social (ES) risks influence the bank loan costs of peer firms. Utilizing a regression discontinuity approach based on shareholder votes on ES-related proposals in U.S. public companies from 2005 to 2021, we find that the approval of these proposals leads to an average 38 basis-point increase in peer firms’ loan costs over the following year. This effect is more pronounced when the proposal is more salient for banks, and when peers have higher ex-ante ES risk and weaker bargaining power. Surprisingly, we find that the spillover is primarily driven by banks with less expertise or weaker ex-ante incentives to price ES risks. These findings suggest that corporate ES risks extend beyond individual firms and influence the loan costs of broader peer borrowers by shaping banks’ loan pricing practices.

International Climate News (R&R at Review of Financial Studies)

Co-authored with Mariano Massimiliano Croce (Bocconi), Riccardo Colacito (UNC), and Maria Jose Arteaga-Garavito (Bocconi). SSRN

Abstract We develop novel high-frequency indices that measure climate attention across a wide range of developed and emerging economies. By analyzing the text of over 23 million Tweets published by leading national newspapers, we find that a country experiencing more severe climate news shocks tends to see both an inflow of capital and an appreciation of its currency. In addition, brown stocks experience large and persistent negative returns after a global climate news shock {if located in highly exposed countries}. A risk-sharing model in which investors price climate news shocks and trade consumption and investment goods in global markets rationalizes these findings.

Explaining Green Returns in a Production Economy

My job market paper explains the green stock return patterns in a production-based asset pricing model. SSRN

Abstract A central debate in climate finance concerns whether greener firms earn higher returns. While theory predicts lower expected returns for green stocks, empirical evidence based on realized returns shows the opposite. I reconcile this divergence by developing a climate-integrated production-based asset pricing model that quantitatively explains both expected and realized return differences between green and brown firms. The model incorporates long-run productivity risk and green consumption preferences, and generates two novel mechanisms: (i) green stocks are less exposed to long-run risk, leading to lower expected returns; (ii) positive shocks to green consumption preferences increase green demand, raising realized green returns. Calibrated to U.S. data, the model matches key macro-financial and climate moments, and replicates the dynamics of green–brown returns and investments. Overall, it provides a unified framework linking climate finance with production-based asset pricing.

Uncertainty and Market Efficiency: An Information Choice Perspective

Co-authored with Harrison Ham (Clemson University), Zhongjin Lu (University of Georgia), Wang Renxuan (CEIBS), and Katherine Wood (Bentley University).

Abstract We develop an information choice model where information costs are sticky and co-move with firm-level intrinsic uncertainty as opposed to temporal variations in uncertainty. Incorporating analysts’ forecasts, we predict a negative relationship between information costs and information acquisition, as proxied by the predictability of analysts’ forecast biases. Finally, the model shows a contrasting pattern between information acquisition and intrinsic and temporal uncertainty, where intrinsic uncertainty strengthens return predictability of analysts’ biases through the information cost channel, while temporal uncertainty weakens it through the information benefit channel. We empirically confirm these opposing relationships that existing theories struggle to explain.

Green Investing, Information Asymmetry, and Capital Structure

Co-authored with Shasha Li (IWH, Germany). SSRN

Abstract We investigate how optimal attention allocation of green-motivated investors changes information asymmetry in financial markets and thus affects firms’ financing costs. To guide our empirical analysis, we propose a model where investors with heterogeneous green preferences endogenously allocate limited attention to learn market-level or firm-specific fundamental shocks. We find that a higher fraction of green investors in the market leads to higher aggregate attention to green firms. This reduces the information asymmetry of green firms, leading to higher price informativeness and lower leverage. Moreover, the information asymmetry of brown firms and the market increases with the share of green investors. Therefore, greater green attention is associated with less market efficiency. We provide empirical evidence to support our model predictions using U.S. data. Our paper shows how the growing demand for sustainable investing shifts investors’ attention and benefits eco-friendly firms.

Generalized Black-Scholes Option Pricing and Investor Sentiment

Co-authored with Kwangwon Ahn (Yonsei, South Korea) and Changyong Ha (PHBS, China).

Abstract This paper extends the standard Black-Scholes (BS) option pricing framework by utilizing the generalized solution to the heat equation proposed by Choi et al. (2017). We present the closed-form solution for a generalized BS (GBS) model and show that the modification to the standard call option price comes from two additional augments interpreted as factors associated with investor sentiment toward the underlying asset. Our model outperforms the standard BS model in both in-sample fit and out-of-sample prediction on S&P 500 index option data. Further analysis shows that the parameters for the newly incorporated terms strongly reflect investors expectation and help better explain how option market prices tend to drift from the BS model.