Brian Weller
Brian Weller

Assistant Professor of Finance

Print Overview

Brian Weller is an Assistant Professor of Finance. He conducts empirical and theoretical research in asset pricing and market microstructure with an emphasis on liquidity risks and high-frequency trading. In recent work, he investigates the relationship between market frictions and asset pricing tail risks and the role of technology in reshaping market making. Professor Weller also studies information flow and transmission of economic shocks through networks.

Professor Weller joined the Finance Department at Northwestern Kellogg in July 2013. He received his Ph.D. in Financial Economics from the University of Chicago Booth School of Business and Department of Economics in June 2013.

Areas of Expertise
Asset Pricing (Equity Markets/Stock Market, Investments and Portfolio Choice)
Derivative Securities and Markets (Futures, Options, Commodities)
Equity Markets (Stock Market) (Includes: Asset Pricing, Investments and Portfolio Choice)
Information Economics
Regulation of Financial Markets

Print Vita
Ph.D., 2013, Financial Economics, Booth School of Business and Department of Economics, University of Chicago
M.A., 2013, Economics, Department of Economics, University of Chicago
A.B., 2009, Applied Mathematics with Secondary Field in Economics, Harvard University, magna cum laude

Academic Positions
Assistant Professor of Finance, Finance Department, Kellogg School of Management, Northwestern Univeristy, 2013-present

Other Professional Experience
Consultant to the Office of the Chief Economist, Commodity Futures Trading Commission, 2011-2012
High Frequency Research Consultant, Paragon Castle Corporation, 2009-2009

Honors and Awards
Q-Group Research Award, 2013
Phi Beta Kappa, 2008

Print Research
Research Interests

Asset Pricing, Market Microstructure

Working Papers
Weller, Brian. 2015. Efficient Prices at Any Cost: Does Algorithmic Trading Deter Information Acquisition?.
Weller, Brian. 2015. Measuring Tail Risks in Real Time.
Lyle, MatthewJames Naughton and Brian Weller. 2015. How Does Algorithmic Trading Improve Market Quality?.
Weller, Brian. 2014. Intermediation Chains.

Print Teaching
Teaching Interests
Finance, Investments
Full-Time / Part-Time MBA
Finance I (FINC-430-0)

Finance 1 covers managers' and investors' most fundamental finance decision: how to value a project or an asset. Managers must determine the value of building a factory, entering a new market, or purchasing an entire firm when deciding in which projects to invest. Similarly, individuals must assess the value of financial securities to decide how to invest their wealth. Using a combination of lectures and business cases, Finance 1 teaches the three principal methods for valuing projects or assets: discounted cash flow, multiples, and real options. These valuation tools lay the foundation for all work in capital markets and corporate finance.

Prerequisite: Business Analytics I (DECS-430)

Recommended Prerequisite: Business Analytics II (DECS-431) and Accounting for Decision Making (ACCT-430), which may be taken concurrently.