Robert P. Bartlett III
890 Simon Hall
University of California at Berkeley
Berkeley, CA 94720
Institutional Affiliation: University of California at Berkeley
NBER Working Papers and Publications
|June 2019||Consumer-Lending Discrimination in the FinTech Era|
with Adair Morse, Richard Stanton, Nancy Wallace: w25943
Discrimination in lending can occur either in face-to-face decisions or in algorithmic scoring. We provide a workable interpretation of the courts’ legitimate-business-necessity defense of statistical discrimination. We then estimate the extent of racial/ethnic discrimination in the largest consumer-lending market using an identification afforded by the pricing of mortgage credit risk by Fannie Mae and Freddie Mac. We find that lenders charge Latinx/African-American borrowers 7.9 and 3.6 basis points more for purchase and refinance mortgages respectively, costing them $765M in aggregate per year in extra interest. FinTech algorithms also discriminate, but 40% less than face-to-face lenders. These results are consistent with both FinTech and non-FinTech lenders extracting monopoly rents in ...
|August 2016||How Rigged Are Stock Markets?: Evidence From Microsecond Timestamps|
with Justin McCrary: w22551
We use new timestamp data from the two Securities Information Processors (SIPs) to examine SIP reporting latencies for quote and trade reports. Reporting latencies average 1.13 milliseconds for quotes and 22.84 milliseconds for trades. Despite these latencies, liquidity-taking orders gain on average $0.0002 per share when priced at the SIP-reported national best bid or offer (NBBO) rather than the NBBO calculated using exchanges’ direct data feeds. Trading surrounding SIP-priced trades shows little evidence that fast traders initiate these liquidity-taking orders to pick-off stale quotes. These findings contradict claims that fast traders systematically exploit traders who transact at the SIP NBBO.
|June 2015||Dark Trading at the Midpoint: Pricing Rules, Order Flow, and High Frequency Liquidity Provision|
with Justin McCrary: w21286
Using over eight trillion observations of market data, we use a regression discontinuity design to analyze the effect of increasing the minimum price variation (MPV) for quoting equity securities in light of recent proposals to increase the MPV from $0.01 to $0.05. We show that a larger MPV encourages investors to trade in dark venues at the midpoint of the national best bid and offer. Enhanced order flow to dark venues reduces price competition by exchange liquidity providers, especially those using high frequency trading (HFT). Trading in dark venues due to a wider MPV reduces volatility and increases trading volume.