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urricullum Vitae Alexander Barinov This version: September 24, 2012 Office Address: 438 Brooks Hall Terry College of Business University of Georgia Athens, GA 30602 Home address: 103 Deer Hollow Rd Bogart, GA 30622 Cell: 585-698-7726 Email: [email protected] EDUCATION Ph.D., Finance, Simon School of Business, University of Rochester , 2008, Beta Gamma Sigma M.Sc., Finance, Simon School of Business, University of Rochester , 2006 M.A., Economics, New Economic School , 2003, Cum Laude B.A., Economics, Lomonosov Moscow State University , 2002, Summa Cum Laude Academic Appointments 2008 - present Assistant Professor of Finance, Terry College of Business, University of Georgia Research Papers A. Publications

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urricullum Vitae

Alexander Barinov

This version: September 24, 2012

Office Address:438 Brooks HallTerry College of BusinessUniversity of GeorgiaAthens, GA 30602

Home address:103 Deer Hollow RdBogart, GA 30622

Cell:  585-698-7726Email: [email protected]  EDUCATION

Ph.D., Finance, Simon School of Business, University of Rochester, 2008, Beta Gamma Sigma

M.Sc., Finance, Simon School of Business, University of Rochester, 2006

M.A., Economics, New Economic School, 2003, Cum Laude

B.A., Economics, Lomonosov Moscow State University, 2002, Summa Cum Laude

  Academic Appointments

2008 - present    Assistant Professor of Finance, Terry College of Business, University of Georgia

  Research Papers

 A. Publications

1. Aggregate Volatility Risk: Explaining the Small Growth Anomaly and the New Issues Puzzle Journal of Corporate Finance, 2012, v. 18 (4), pp. 763-781

The paper shows that new issues earn low expected returns because they are a hedge against increases in expected aggregate volatility. Consistent with that, the ICAPM with the aggregate volatility risk factor can explain the new issues puzzle, as well as the small growth anomaly and the cumulative issuance puzzle. The key mechanism is that, all else equal, growth options become less sensitive to the underlying asset value and more

valuable as idiosyncratic volatility goes up. Idiosyncratic volatility usually increases together with aggregate volatility, that is, in recessions.

2. Analyst Disagreement and Aggregate Volatility Risk  Journal of Financial and Quantitative Analysis, forthcoming

The paper explains why firms with high dispersion of analyst forecasts earn low future returns. These firms beat the CAPM in the periods of increasing aggregate volatility and thereby provide a hedge against aggregate volatility risk. The aggregate volatility risk factor can explain the abnormal return differential between high and low disagreement firms. This return differential is higher for the firms with abundant real options, and this fact can be explained by aggregate volatility risk. Aggregate volatility risk is also capable of explaining why the link between analyst disagreement and future returns is stronger for firms with high short-sale constraints.

 B. Working Papers

1. Idiosyncratic Volatility, Growth Options, and the Cross-Section of Returns (December 2011)

Revise and resubmit at Review of Financial Studies, 3rd round

The paper shows that the value effect and the idiosyncratic volatility discount (Ang et al., 2006) arise because growth firms and high idiosyncratic volatility firms beat the CAPM during the periods of increasing aggregate volatility. Growth options become less sensitive to the underlying asset value as idiosyncratic volatility goes up together with aggregate volatility. Hence, growth options' betas decrease more and their value decreases less in volatile times, which are typically recessions. All else equal, growth options' value also increases with volatility. The impact of both effects on the firm's value is naturally stronger for growth firms and high idiosyncratic volatility firms. The two-factor ICAPM with the market factor and the aggregate volatility risk factor completely explains the value effect and the idiosyncratic discount. The two-factor ICAPM also explains why those puzzles are stronger for the firms with high short sale constraints.

2. Turnover: Liquidity or Uncertainty?   (July 2012)

Submitted to Review of Financial Studies

I show that turnover is unrelated to several alternative measures of liquidity and liquidity risk and that liquidity risk factors cannot explain why higher turnover predicts lower future returns. I find that the aggregate volatility risk factor explains why higher turnover predicts lower future returns. I also find that the negative relation between turnover and future returns is stronger for firms with high market-to-book or bad credit rating and these regularities are also explained by the aggregate volatility risk factor.

3. Institutional Ownership and Aggregate Volatility Risk   (November 2009)

The paper shows that the difference in aggregate volatility risk can explain why several anomalies are stronger among the stocks with low institutional ownership. Because of their desire to hedge against aggregate volatility or to exploit their competitive advantages, coupled with the dislike of uncertainty and volatility, institutions tend to stay away from the stocks with extremely low and extremely high levels of volatility (disagreement) and growth options. Consequentially, the spread in the measures of volatility, disagreement, and growth options is wider for low institutional ownership stocks, and the same is true about the differential in aggregate volatility risk. I demonstrate empirically that the ICAPM with the aggregate volatility risk factor can completely explain why the negative relation between market-to-book, idiosyncratic volatility, turnover, and analyst disagreement, on the one hand, and future returns on the other is stronger for the stocks with low institutional ownership.

4. Short Interest and Aggregate Volatility Risk (with Julie Wu)   (August 2012)

Submitted to Management Science

We propose a risk-based explanation on why stocks of firms with high relative short interest (RSI) have lower future returns. We argue that these firms have negative alphas because they are a hedge against expected aggregate volatility. Consistent with this argument, we show that these firms have high firm-specific uncertainty and real options, and the ICAPM with the aggregate volatility risk factor can explain the high RSI effect. The key mechanism is that high RSI firms have abundant growth options and, all else equal, growth options become less sensitive to the underlying asset value and more valuable as idiosyncratic volatility goes up. Idiosyncratic volatility usually increases together with aggregate volatility, i.e., in recessions.

5. Why Does Higher Variability of Trading Activity Predict Lower Expected Returns? (September 2012)

The paper shows that controlling for the aggregate volatility risk factor eliminates the puzzling negative relation between variability of trading activity and future abnormal returns. I also find that variability of other measures of liquidity and liquidity risk is largely unrelated to expected returns. Lastly, I show that the low returns to the firms with high variability of trading activity are not explained by liquidity risk and mispricing stories.

6. Stocks with Extreme Past Returns: Lotteries or Insurance?   (August 2012)

The paper shows that lottery-like stocks are hedges against unexpected increases in market volatility. The loading on the aggregate volatility risk factor explains low returns to stocks with high maximum returns in the past (Bali, Cakici, and Whitelaw, 2012) and high expected skewness (Boyer, Mitton, and Vorkink, 2010). Aggregate volatility risk also explains the new evidence that the maximum effect and the skewness effect are stronger for the firms with high short-sale constraints, high market-to-book, and low credit rating.

 B. Work in Progress

1. The Diversification Discount and Aggregate Volatility Risk (with Sheri Tice) 2. The Idiosyncratic Volatility Discount and the Size Effect 3. Idiosyncratic Volatility and Continuation Anomalies 4. The Idiosyncratic Volatility Discount and Conservative Accounting

 Conference and Seminar Presentations

Idiosyncratic Volatility, Growth Options, and the Cross-Section of Returns

University of Alberta, January 2008 University of Washington, January 2008 Tulane University, February 2008 University of Georgia, February 2008 The Second Risk Management Conference in Mont Tremblant, March 2008

Aggregate Volatility Risk: Explaining the Small Growth Anomaly and the New Issues Puzzle

Northern Finance Association Meetings, September 2008 All-Georgia Finance Conference, Atlanta Fed, October 2008 Southern Finance Association Meetings, November 2008

Turnover: Liquidity or Uncertainty?

University of Florida, October 2009 Financial Management Association Meetings, October 2009 20th Anniversary Conference on Financial Economics and Accounting, Rutgers

University, November 2009 Southern Finance Association Meetings, November 2009 Eastern Finance Association Meetings, April 2010 6th Annual Central Bank Workshop on the Microstructure of Financial Markets, October

2010

Analyst Disagreement and Aggregate Volatility Risk

5th Mid-Atlantic Research Conference, Villanova University, March 2010 Eastern Finance Association Meetings, April 2010 Northern Finance Association Meetings, September 2010 Financial Management Association Meetings, October 2010 Southern Finance Association Meetings, November 2010 7th Financial Intermediation Research Society Meetings, June 2012

Institutional Ownership and Aggregate Volatility Risk

Financial Management Association Meetings in Europe, June 2010 Southern Financial Association Meetings, November 2010 European Financial Management Association Meetings (EFMA), June 2011 II World Finance Conference, June 2011 Midwest Finance Association Meetings, February 2012

Why Does Higher Variability of Trading Activity Predict Lower Expected Returns?

Financial Management Association Meetings in Europe (FMA Europe), June 2011 II World Finance Conference, June 2011 Financial Management Association Meetings, October 2011 Southern Finance Association Meetings, November 2011

Short Interest and Aggregate Volatility Risk, (with Julie Wu)

Southern Finance Association Meetings, November 2011 Midwest Finance Association Meetings, February 2012 III World Finance Conference, July 2012 Financial Management Association Meetings, October 2012

 Research Interests

Empirical asset pricing Anomalies Idiosyncratic volatility Aggregate volatility risk Capital markets research in accounting Real options

 Honors and Awards

SSRN's Top Ten download list for ERN: Business Fluctuations; Cycles ("Why Does Higher Variability of Trading Activity Predict Lower Expected Returns?" 9/10/2010 - 10/22/2010)

Runner-up for the Best Paper in Market Microstructure Award, FMA 2009 ("Turnover: Liquidity or Uncertainty?")

Beta Gamma Sigma, University of Rochester, 2009 Cum laude graduation, New Economic School, 2003 Special Award of The Vedomosti (joint venture of The Wall Street Journal and The

Financial Times in Russia), Lomonosov Student Conference, Lomonosov Moscow State University, 2003

Summa cum laude graduation, Moscow State University, 2002 Best Student Paper, Lomonosov Student Conference, Lomonosov Moscow State

University, 2001 Moscow Mayor Scholarship, Lomonosov Moscow State University, 2000, 2001

 Professional Activities

Ad-hoc reviewer, Journal of Financial Economics (26), Journal of Accounting and Economics (1), Journal of Banking and Finance (1), Review of Finance (2)

 Teaching Experience

Terry College of Business, University of Georgia

Course Instructor, Survey of Investments, Undergraduate program, Spring 2009, Spring 2010, Spring 2011, Spring 2012

Course Instructor, Empirical Research in Investments, PhD program, Spring 2011, Spring 2013

Course Instructor and Developer, Trading Strategies and Financial Models, Undergraduate program, Spring 2012, Fall 2012, Spring 2013

Simon School of Business, University of Rochester

Course Instructor, Foundations of Economics, Ph.D. program, Summer 2007 Lab Instructor, Managerial Economics (Prof. James A. Brickley), MBA program, Spring 2007

 Teaching Interests

MBA and undergraduate level:

Capital Markets International Finance Capital Budgeting Probability and Statistics Econometrics Microeconomics

PhD level:

Empirical Asset Pricing Financial Econometrics

 REFERENCES

Prof. G. William Schwert (thesis committee chair) Professor of Finance and Statistics CS-3-110L Carol Simon Hall William E. Simon School of Business University of Rochester Rochester, NY 14627

Phone: (585) 275-2470 Email: [email protected]

Prof. Jerold B. Warner (thesis committee member) Professor of Finance CS-3-160H Carol Simon Hall William E. Simon School of Business University of Rochester Rochester, NY 14627 Phone: (585) 275-2678 Email: [email protected]

Prof. John B. Long (thesis committee member) Professor of Finance and Economics CS-3-208 Carol Simon Hall William E. Simon School of Business University of Rochester Rochester, NY 14627 Phone: (585) 275-3358 Email: [email protected]\

Prof. Paul J. Irvine Associate Professor of Finance 444 Brooks Hall Terry College of Business University of Georgia Athens, GA 30602 Phone: (706) 542-3661 Email: [email protected]

  PERSONAL INFORMATIONCitizenship: RussiaPermanent Residency: USADate of Birth: 13.09.1981Marital Status: MarriedLanguages: English (fluent), Russian (native), German (working),

French (working)