activity
20152026
most citedSpeed and biases of Fourier-based pricing choices: A numerical analysis

12 citations · 27 across the 6 of their papers we have counts for

collaborators

7 papers

q-fin.TR2026

Large Language Models and Stock Investing: Is the Human Factor Required?

Ricardo Crisostomo, Diana Mykhalyuk

This paper investigates whether large language models (LLMs) can generate reliable stock market predictions. We evaluate four state-of-the-art models - ChatGPT, Gemini, DeepSeek, a…

q-fin.RM2025

Quantifying firm-level risks from nature deterioration

Ricardo Crisostomo

We estimate the loss of value that companies might suffer from nature overexploitation. We find that global equities shed 26.8% in a scenario of unabated nature decline, while the…

q-fin.RM2022★ 4 cited

Measuring Transition Risk in Investment Funds

Ricardo Crisostomo

We develop a comprehensive framework to measure the impact of the climate transition on investment portfolios. Our analysis is enriched by including geographical, sectoral, company…

q-fin.RM2021

Estimating real-world probabilities: A forward-looking behavioral framework

Ricardo Crisóstomo

We show that disentangling sentiment-induced biases from fundamental expectations significantly improves the accuracy and consistency of probabilistic forecasts. Using data from 19…

q-fin.RM2018★ 11 cited

Financial density forecasts: A comprehensive comparison of risk-neutral and historical schemes

Ricardo Crisostomo, Lorena Couso

We investigate the forecasting ability of the most commonly used benchmarks in financial economics. We approach the usual caveats of probabilistic forecasts studies -small samples,…

q-fin.CP2017★ 12 cited

Speed and biases of Fourier-based pricing choices: A numerical analysis

Ricardo Crisóstomo

We compare the CPU effort and pricing biases of seven Fourier-based implementations. Our analyses show that truncation and discretization errors significantly increase as we move a…

q-fin.PR2015

An Analysis of the Heston Stochastic Volatility Model: Implementation and Calibration using Matlab

Ricardo Crisostomo

This paper analyses the implementation and calibration of the Heston Stochastic Volatility Model. We first explain how characteristic functions can be used to estimate option price…