This paper examines the relevance of banks' exposure to climate transition risk in the interbank lending market. Using transaction-level data on repo agreements, we first establish that banks with higher exposure to transition risk face significantly higher borrowing costs. This premium is a...

This paper introduces a business cycle model that integrates financial markets and endogenous financial volatility at the Zero Lower Bound (ZLB). We derive three key insights: first, central banks can mitigate excess financial volatility at the ZLB by credibly committing to future economic...

This paper presents a novel 5-factor model for agricultural commodity risk premiums, an approach not explored in previous research. The model is applied to the specific cases of corn, soybeans, and wheat. Calibration is achieved using a Kalman filter and maximum likelihood, with data from...

In recent years, because of the 2008 financial crisis and the evolution of the sovereign debt markets, there has been a significant increase in interest in understanding the factors that determine the risk premium, becoming a key indicator of the financial stability of countries, and a measure...

In 2019, the European Commission published the WACC Notice that sets out a methodology for estimating the weighted average costs of capital (WACC) used by national regulatory authorities in the cost regulation of the telecommunication sector. The Notice is explicitly limited to legacy...

This article analyzes the influence of hurricane strikes on the returns of sovereign bonds issued by Cuba, the Dominican Republic and Haiti between 1905 and 1930. The study uses a fixed effects regression model to isolate the impact of hurricane-induced destruction on bond returns, providing a...

Based on the typical positions of S&P 500 option market makers, we derive a funding illiquidity measure from quoted prices of S&P 500 derivatives. Our measure significantly affects the returns of leveraged managed portfolios; hedge funds with negative exposure to changes in funding illiquidity...

We propose a macro-finance model in which inflation, growth, and the policy rate are driven by unobservable long-run trends and transitory cycles that investors must infer from aggregate data. Their subjective estimates of these trends, and the uncertainty surrounding them, are priced into the...

Securities dealers play a central role intermediating funds in the U.S. short-term money markets. This intermediation involves risk, which can be mitigated by holding buffers of liquid securities. The cost of holding these buffers - the liquidity risk premium - is driven by the opportunity cost...

This paper develops a tractable consumption-based asset-pricing model in an i.i.d. economy that combines rare consumption disasters with ambiguity aversion implemented as a one-period entropic tilt under CRRA utility. Closed-form expressions for the risk-free rate, equity return moments, and the...

Climate change is reshaping sovereign risk and macroeconomic stability by amplifying fiscal and external fragilities. This paper develops a unified framework to assess how climate vulnerability and resilience jointly influence fiscal–external solvency. We construct a market-based...

Despite the economic relevance of climate-transition risk, firm-level carbon exposure often fails to appear as a robustly priced factor when ESG measures and sustainability shocks are conflated. This study examines whether carbon exposure is conditionally priced in European equity returns using...

The relationship between Credit Default Swaps (CDS) and cash bonds plays a pivotal role in providing market participants with important information which directly affects investment and risk management strategies. Particularly relevant is the CDS-Bond basis, defined as the difference in basis...

Repo markets clear either bilaterally over the counter (OTC) or through central counter-parties (CCPs), which differ in how counterparty risk is priced. In bilateral markets, repo rates reflect borrower-specific risk, while CCP clearing pools counterparties and applies a common pricing rule. We...

I develop a model-based definition of time-varying sovereign bond safety, and apply it empirically by constructing a news-based index, the FLY, that measures global safe-assets demand. The FLY captures flight-to-safety episodes, the savings glut, and natural interest rate declines. Estimated FLY...

Price premia between day-ahead and intraday electricity markets are well documented and often attributed to factors such as forecast errors or market frictions. However, existing explanations provide limited insight into why these price premia can exhibit a systematic diurnal structure, as...

State-contingent debt (SCD) instruments have been proposed as an improvement to sovereign debt markets, but their issuance costs are not well understood. We estimate the SCD premium at issuance and for more than a decade thereafter, employing a quasi-twin bond strategy that uses two very similar...

We study the green bond premium, defined as the yield differential between green and matched conventional bonds in the secondary market. Existing estimates vary widely, raising questions about their robustness. We address this by estimating the premium across more than 500,000 empirical designs...

This study quantifies Lithuania's Equity Risk Premium (ERP) by integrating Damodaran's country-risk premium (CRP) framework with a multiple regression on key market drivers. By using quarterly data from Q1 2015 to Q4 2024, the CRP model yields an implied cost of equity of 9.84%, corresponding to...

This paper investigates the effects of inflation news coverage on market-based inflation expectations and outcomes in the inflation-protected securities market. We employ a large corpus of news headlines from top U.S. newspapers and market data on the U.S. yield curve and inflation-protected...

Risk premium plays an important role in stock investing. Experiments have shown that value stocks typically have a higher average return than growth stocks; however, this effect persists indefinitely, even disappearing in some stages. Some studies suggested high volatility in the series of...

Industry classification groups firms into finer partitions to help investments and empirical analysis. To overcome the well-documented limitations of existing industry definitions, like their stale nature and coarse categories for firms with multiple operations, we employ a clustering approach...