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Charles Favreau, PhD

Forensic Economist
Associate Professor of Finance
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  • CV
  • Research
  • Teaching
  • Resources
  • Bio
For Undergraduates
  • Making a career in Finance
    • Alex Edmans (LBS) - Fulfilling Careers and Full Lives
    • Rober Shiller (Yale) - Finding your purpose in a World of Financial Capitalism 
    • Occupational Outlook Handbook by US Dept of Labor
    • Best Business Jobs - U.S. News and World Report
    • Finance Career Options - iTunes University 
  • Advice on Obtaining a Job
    • Tips_for_Resume_and_Cover_Letter.pdf
    • Interview_Questions_and_General_Tips.pdf
  • Good Videos on Finance 
    • How the Economic Machine Works by Ray Dalio
    • Yale Courses on Youtube: Financial Markets with Robert Shiller
      • Hank Greenberg - An Amazing Life
      • David Swensen - Ran the Yale Endowment 
    • To Catch a Trader - Covers SAC Scandel
    • Inequality
      • Inequality for All
      • TED Talk: Richard Wilkinson: How Economic Inequality Harms Societies
  • Other recommended resources
    • Seeking Alpha
For Masters
  • Articles to Read
    • What Every CFO Should Know about Scientific Progress in Financial Economics - Roll 1994 
    • New Facts in Finance - Cochrane 1999
    • My Top 10 Peeves - Asness 2014
    • Real Options and Investment Valuation - Chance and Peterson 2002 
  • Thinking about a PhD?
    • PhD or Not? Greg Mankiw
For PhD
  • On Getting Started
    • Getting Started in Economic Research - Ivo Welch 
    • PhD Thesis Research: Where do I start? - Don Davis
    • David Levine's Cheap Advice
    • FinanceProfessor.com
    • Research-Finance.com 
    • Erick Zwick - The Twelve Step Program for Grad School 
    • Erick Zwick - How I Learned to Stop Worryign and Love the Job Market
  • On Writing
    • Writing Tips for PhD Students - John Cochrane
    • Writing Papers: A Checklist - Michael Kremer
  • Good Examples for 
    • Clustering Standard Errors
    • Fixed Effects
    • Instrumental Variable - Smoking and Tax Example in Wikipedia
    • Natural Experiments - Vietnam War
  • Tools for Research
    • Endogeniety in Emperical Corporate Finance - Roberts and Whited (2012)
    • Petersen - Programming Standard Errors and FE
    • Zotero
    • Latex
    • Bakoma Tex
    • WinEdt9
    • Evince
    • Microsoft OneNote (or Evernote) 
Selected Financial Research
 
 
Many of these already published articles can be downloaded for free while signed on through your university internet access. 
  • 52 week High
    • The 52-Week High and Momentum Investing
    • George and Hwang 2004
    • The authors suggest that the 52 week high creates a barrier which investors are reluctant to trade past. When good news arrives which warrants price adjustment, the information eventually prevails and the price moves up, resulting in continuation.
    • http://onlinelibrary.wiley.com/doi/10.1111/j.1540-6261.2004.00695.x/full

 

  • Mad Money with Jim Cramer
    • Market Madness? The Case of Mad Money
    • Engelberg, Sasseville, and Williams 2011
    • The authors find that stock recommendations lead to large overnight returns that subsequently reverse over the next few months.
    • http://pubsonline.informs.org/doi/abs/10.1287/mnsc.1100.1290

 

  • Momentum
    • Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency
    • Jegadeesh and Titman, 1993
    • Strategies that buy stocks which have performed well in the past and sell stocks that have performed poorly in the past generate significant positive returns over 3-12 month holding periods.
    • http://onlinelibrary.wiley.com/doi/10.1111/j.1540-6261.1993.tb04702.x/full

 

  • Momentum Crashes
    • Momentum Crashes
    • Daniel and Moskowitz, 2013
    • Returns to momentum strategies are negatively skewed; they experience infrequent but strong and persistent strings of negative returns. These momentum crashes are partly forecastable.
    • http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2371227

 

  • Value and Momentum
    • Value and Momentum Everywhere
    • Asness, Moskowitz and Pedersen, 2013
    • Value and Momentum strategies are evident across time, countries, and asset classes. Value and Momentum strategies negatively covary.
    • http://onlinelibrary.wiley.com/doi/10.1111/jofi.12021/full

 

  • Momentum and Reversal
    • Momentum and Reversal: Does What Goes up Always Come Down?
    • Conrad and Yavuz (2015) 
    • Stocks which contribute to momentum, do not reverse. Stocks which do not contribute to momentum, subsequently reverse. 
    • http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2011148

 

  • Momentum Fact and Fiction
    • Fact, Fiction and Momentum Investing
    • Asness, Frazzini, Israel, and Moskowitz (2014)
    • http://papers.ssrn.com/sol3/Papers.cfm?abstract_id=2435323 
 
  • Value and Gross Profitability
    • The Other Side of Value: The Gross Profitability Premium
    • Novy-Marx, 2013
    • Profitability, measured by gross profits-to-assets, has roughly the same power as book-to-market predicting the cross section of average returns. Profitable firms generate significantly higher returns than unprofitable firms, despite having significantly higher valuation ratios. Controlling for profitability also dramatically increases the performance of value strategies, especially among the largest, most liquid stocks. 
    • http://www.sciencedirect.com/science/article/pii/S0304405X13000044

 

  • Value and Piotroski F score
    • Identifying Expectation Errors in Value/Glamour Strategies: A Fundamental Analysis Approach
    • Piotroski and So, 2012
    • It is well established that value stock outperform glamour stocks, yet considerable debate exists about whether the return differential reflects compensation for risk or mispricing.
    • http://rfs.oxfordjournals.org/content/early/2012/04/18/rfs.hhs061.short

 

  • Post-Earnings Announcement Drift (PEAD)
    • Comparing the Post–Earnings Announcement Drift for Surprises Calculated from Analyst and Time Series Forecasts
    • Livnat and Mendenhall, 2006
    • Post–earnings announcement drift is the tendency for a stock's cumulative abnormal returns to drift in the direction of an earnings surprise for several weeks following an earnings announcement.
    • http://onlinelibrary.wiley.com/doi/10.1111/j.1475-679X.2006.00196.x/abstract

 

  • PEAD and Disposition
    • The Disposition Effect and Underreaction to News
    • Frazzini, 2006
    • The author shows that post-announcement price drift is most severe whenever capital gains and the news event have the same sign. The magnitude of the drift depends on the capital gains (losses) experienced by the stock holders on the event date. An event-driven strategy based on this effect yields monthly alphas of over 200 basis points.
    • http://onlinelibrary.wiley.com/doi/10.1111/j.1540-6261.2006.00896.x/full

 

  • Stocks with High Short interest
    • Short Interest, Institutional Ownership, and Stock Returns
    • Asquith, Pathak, and Ritter 2005
    • The authors find that short constrained stocks underperform by a significant 215 basis points per month.
    • http://www.sciencedirect.com/science/article/pii/S0304405X05001170

 

  • Stocks with Low Short Interest
    • The Good News in Short Interest
    • Boehmer, Huszar, and Jordan, 2010
    • Stocks with relatively high short interest subsequently experience negative abnormal returns, but the effect can be transient and of debatable economic significance. In contrast, heavily traded stocks with low short interest experience both statistically and economically significant positive abnormal returns. 
    • http://www.sciencedirect.com/science/article/pii/S0304405X09002402

 

  • Short Interest
    • Supply and Demand Shifts in the Shorting Market
    • Cohen, Diether, Malloy (2007)
    • Identifying shifts in the demand curve, the authors find that demand for shorts is an important predictor of future stock returns. An increase in demand results in an abnormal decrease of 2.98% in the following month. 
    • http://onlinelibrary.wiley.com/doi/10.1111/j.1540-6261.2007.01269.x/full

 

  • Weekly Reversal
    • Evidence of predictable behavior of security returns
    • Jegadeesh, 1990
    • Negative first-order serial correlation in monthly stock returns is highly significant.
    • http://onlinelibrary.wiley.com/doi/10.1111/j.1540-6261.1990.tb05110.x/abstract

 

  • Large decrease Reversals
    • The Reversal of Large Stock-Price decreases
    • Bremer and Sweeney, 2012
    • Extremely large negative 10-day rates of return are followed on average by larger-than-expected positive rates of return over following days. This price adjustment lasts approximately 2 days
    • http://www.jstor.org/stable/2328846?seq=1#page_scan_tab_contents

 

  • Sentiment
    • Investor Sentiment and the Cross-Section of Stock Returns
    • Baker and Wurgler, 2006
    • When beginning-of-period proxies for sentiment are low, subsequent return relatively high for small stocks, young stocks, high volatility stocks, unprofitable stocks, non-dividend-paying stocks, extreme growth stocks, and distressed stocks. When sentiment is high, these categories of stock earn relatively low subsequent returns.
    • http://onlinelibrary.wiley.com/doi/10.1111/j.1540-6261.2006.00885.x/abstract

 

  • Sports Sentiment
    • Sports Sentiment and Stock Returns
    • Edmans, Garcia and Norli, 2007
    • A loss in the soccer World Cup elimination stage leads to a next-day abnormal stock return of -49 basis points. This loss effect is stronger in small stocks and in more important games, and is robust to methodological changes. The authors also find a loss effect after international cricket, rugby and basketball games.
    • http://onlinelibrary.wiley.com/doi/10.1111/j.1540-6261.2007.01262.x/full

 

  • Insider Trading
    • Decoding Inside Information
    • Cohen, Malloy and Pomorski, 2012
    • After removing routine traders from the sample, the authors find a portfolio strategy that yields 82 basis points per month.
    • http://onlinelibrary.wiley.com/doi/10.1111/j.1540-6261.2012.01740.x/abstrac

 

  • Fear Sentiment revealed through internet searches 
    • The Sum of All FEARS Investor Sentiment and Asset Prices 
    • Da, Engelberg, and Gao, 2014
    • We use daily Internet search volume from millions of households to reveal market-level sentiment. By aggregating the volume of queries related to household concerns (e.g., “recession," “unemployment," and “bankruptcy"), we construct a Financial and Economic Attitudes Revealed by Search (FEARS) index as a new measure of investor sentiment. Between 2004 and 2011, we find FEARS (i) predict short-term return reversals, (ii) predict temporary increases in volatility, and (iii) predict mutual fund flows out of equity funds and into bond funds.
    • http://rfs.oxfordjournals.org/content/early/2014/10/17/rfs.hhu072

 

  • Size and Value
    • The Cross-Section of Expected Stock Returns 
    • Fama and French, 1992
    • Two easily measured variables, size and book-to-market equity, combine to capture the cross-sectional variation in average stock returns 
    • https://www.jstor.org/stable/2329112?seq=1#page_scan_tab_contents

 

  • Limited attention and stock returns
    • Investor Inattention and Friday Earnings Announcements 
    • Dellavigna and Pollet, 2009
    • Friday earnings announcements have a 15% lower immediate response and a 70% higher delayed response. 
    • http://onlinelibrary.wiley.com/doi/10.1111/j.1540-6261.2009.01447.x/abstract

 

Links to R Resources
  1. What is R?
    1. Open source, statistical analysis program rapidly gaining popularity in Finance and among data scientists
    2. Why R? http://r4stats.com/articles/popularity/
    3. Alternatives: SAS, Matlab, Python
  2. Download R
    1. http://cran.r-project.org/bin/windows/base/
  3. Install R studio
    1. A useful interface for programming in R
    2. http://www.rstudio.com/products/rstudio/download/
    3. Other alternatives include JGR, Rkward
  4. Take some introductory R courses online
    1. Introduction to R
      1. Covers the basics of getting started with R
      2. https://www.datacamp.com/courses/free-introduction-to-r
    2. Intro to computational finance with R
      1. Covers some useful functions for finance like downloading data from yahoo finance, calculating returns, and analyzing stock returns
      2. Combined course using Coursera and DataCamp
      3. https://www.coursera.org/course/compfinance
      4. https://www.datacamp.com/courses/computational-finance-and-financial-econometrics-with-r
  5. Look at existing code to learn how to back test investing and trading strategies
    1. How to backtest a strategy in R http://www.r-bloggers.com/how-to-backtest-a-strategy-in-r/
    2. Backtesting a Trading Strategy in R http://www.r-bloggers.com/backtesting-a-trading-strategy/
    3. Backtesting a Simple Stock Trading Strategy http://www.r-bloggers.com/backtesting-a-simple-stock-trading-strategy/
    4. Algorithmic Trading with IBrokers http://www.r-bloggers.com/algorithmic-trading-with-ibrokers/
    5. Importing Google News data http://www.r-bloggers.com/importing-google-news-data-to-r/
    6. Forecasting Recessions http://www.r-bloggers.com/forecasting-recessions/
    7. Scraping web data in R http://www.r-bloggers.com/scraping-web-data-in-r/
    8. Using the google prediction API from R http://www.r-bloggers.com/using-the-google-prediction-api-from-r/
  6. Other Useful sites
    1. R packages
      1. Quantmod: Download Yahoo Finance Data 
      2. IBrokers: Stream Interactive Brokers into R
      3. PerformanceAnalytics: Econometric Functions for Performance and Risk Analysis
      4. Zoo: 
      5. Tseries: Time Series Analysis
    2. Useful Websites
      1. R vs Matlab vs SAS
      2. Financial Data Accessible in R
      3. R Code to download Yahoo Finance Data 
      4. R/Finance Conference
      5. Introduction to Computational Finance and Financial Econometrics using R - Free course on Coursera 

 

Cell: 407-232-3525
Email: favreauc@duq.edu 

© 2026 Charles Favreau

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