On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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4 results for “Aswath Damodaran”

DBOT: Artificial Intelligence for Systematic Long-Term Investingcs.CL

DBOT uses AI to automate long-term stock valuation.

problem Automating long-term stock valuation using AI.

method DBOT uses generative AI to reason about company valuations.

result DBOT can value any publicly traded company and is comparable to Aswath Damodaran.

AI stock valuation long-term investing Aswath Damodaran machine learning

2025-04-08abs ↗pdf ↗

Risk and Return models for Equity Markets and Implied Equity Risk Premiumq-fin.PR

Equity risk premium is a central component of every risk and return model in finance and a key input to estimate costs of equity and capital in both corporate finance and valuation. An article by Damodaran examines three broad approaches for estimating the equity risk premium. The first is survey based, it consists in …

2019-03-18abs ↗pdf ↗

A review of the Dividend Discount Model: from deterministic to stochastic modelsq-fin.GN

This chapter reviews various dividend discount models from deterministic to stochastic.

problem Modeling the variability in dividend payments over time.

method Analyzes models ranging from basic to advanced, including Markov chains.

result Advanced models provide more realistic valuations by considering dividend state.

Dividend Discount Model Stochastic Models Markov Chains Dividend Process Risk Assessment

2020-01-02abs ↗pdf ↗

P vs NP Problem in Portfolio Optimization: Integrating the Markowitz-CAPM Framework with Cardinality Constraints and Black-Scholes Derivative Pricingecon.EM

Paper tackles P vs NP problem in portfolio optimization with cardinality constraints and Black-Scholes derivatives.

problem Operationalizing the P vs NP problem in cardinality-constrained portfolio selection.

method Mixed-integer quadratic program with genetic algorithms, Monte Carlo sampling, and greedy screening.

result Cardinality constraint reshapes efficient frontier, highlighting trade-offs between stability and computational cost.

P vs NP portfolio optimization cardinality constraints Markowitz CAPM

2026-03-06abs ↗pdf ↗