Submissions from all areas of financial econometrics and empirical finance are welcome, including estimation and testing, asset pricing and risk management, high frequency econometrics and market microstructure, forecasting and forecast evaluation, machine learning and “big data.”SoFiE is...

The SoFiE Financial Econometrics Schools are annual week-long research-based courses for Ph.D. students and new faculty in financial econometrics. This summer school covers various selected topics from particularly active recent research areas in asset pricing and financial econometrics, with an...

The SoFiE Financial Econometrics Schools are annual week-long research-based courses for Ph.D. students and new faculty in financial econometrics. The course is intended for Ph.D. students and researchers in statistics, econometrics and finance. It covers an introduction to statistical machine...

Theme: “The Econometrics of Derivatives Markets” Topics for the Summer School: - Introduction to Financial Market Volatility Estimation and Modeling - Review of High-Frequency Econometrics for Financial Data - Analysis of Risk Premiums in Continuous-Time Models - Econometrics for Parametric...

SoFiE is planning for an in-person conference at UC San Diego. However, given the uncertainty of these times, we are also preparing for the possibility of a remote event.

You are invited to submit a paper or papers on any topic related to machine learning in finance.

The course is intended for Ph.D. students and researchers in statistics, econometrics and finance with an introduction to methods to analyze high frequency data and estimate parametric and nonparametric financial models using such data. The course assumes some familiarity with stochastic...

Summer School Theme: "The Econometrics and Asset Pricing of Foreign Exchange Markets" Topics : - Overview of Empirical FX Market Microstructure literature on Price Discovery, Order Flow, Liquidity, and Volume; - Description and Discussion of Rationale for the Breakdown of the Covered Interest...

One theme of the conference seeks to highlight econometric research in the area of artificial intelligence and machine learning in finance.