Papers, ranked by score

Ordered by a blend of empirical rigor (60%) and math complexity (40%).

Black-Litterman and ESG Portfolio Optimization

We introduce a simple portfolio optimization strategy using ESG data with the Black-Litterman allocation framework. ESG scores are used as a bias for Stein shrinkage estimation of equilibrium risk premiums used in assigning Black-Litterman asset weights. Assets are modeled as multivariate affine nor

Holy Grail Math 8.5 Rigor 7 ·  November 26, 2025

Long-Range Dependence in Financial Markets: Empirical Evidence and Generative Modeling Challenges

This study presents a comprehensive empirical investigation of the presence of long-range dependence (LRD) in the dynamics of major U.S. stock market indexes–S&P 500, Dow Jones, and Nasdaq–at daily, weekly, and monthly frequencies. We employ three distinct methods: the classical rescaled range (R/S)

Holy Grail Math 7.5 Rigor 6 ·  September 24, 2025

The Financial Market of Indices of Socioeconomic Wellbeing

The financial industry should be involved in mitigating the risk of downturns in the financial wellbeing indices around the world by implementing well-developed financial tools such as insurance instruments on the underlying wellbeing indices. We define a new quantitative measure of the wellbeing of

Holy Grail Math 6.5 Rigor 5 ·  March 10, 2023

Exploring Dynamic Asset Pricing within Bachelier Market Model

This paper delves into the dynamics of asset pricing within Bachelier market model, elucidating the representation of risky asset price dynamics and the definition of riskless assets.

Lab Rats Math 6.5 Rigor 2.5 ·  July 8, 2023

Bachelier's Market Model for ESG Asset Pricing

Environmental, Social, and Governance (ESG) finance is a cornerstone of modern finance and investment, as it changes the classical return-risk view of investment by incorporating an additional dimension of investment performance: the ESG score of the investment. We define the ESG price process and i

Lab Rats Math 6.5 Rigor 2 ·  June 7, 2023

Exploring Implied Certainty Equivalent Rates in Financial Markets: Empirical Analysis and Application to the Electric Vehicle Industry

In this paper, we mainly study the impact of the implied certainty equivalent rate on investment in financial markets. First, we derived the mathematical expression of the implied certainty equivalent rate by using put-call parity, and then we selected some company stocks and options; we considered

Philosophers Math 3.5 Rigor 3 ·  June 30, 2023

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