Farshid Abdi

Ph.D. Candidate in Finance


E-mail: fabdi@stern.nyu.edu


Published Papers

A Simple Estimation of Bid-Ask Spreads from Daily Close, High, and Low Prices, with Angelo Ranaldo
Review of Financial Studies, 30 (12), 2017, 4437–4480  

We propose a new method to estimate the bid-ask spread when quote data are not available. Compared to other low-frequency estimates, this method utilizes a wider information set, namely, readily available close, high, and low prices. In the absence of end-of-day quote data, this method generally provides the highest cross-sectional and average time-series correlations with the TAQ effective spread benchmark. Moreover, it delivers the most accurate estimates for less liquid stocks. Our estimator has many potential applications, including an accurate measurement of transaction cost, systematic liquidity risk, and commonality in liquidity for U.S. stocks dating back almost one century.

Most read article on the RFS website as of November 2018, Snapshot


Working Papers

Cycles of Declines and Reversals following Overnight Market Declines
Job Market Paper

This paper uncovers and explains the emergence of cycles of intraday declines and overnight reversals in the U.S. stock market in the 21st century. Using quote midpoints for the past 24 years of common stocks traded in the three main exchanges, I show that the cross-sectional association between average intraday and overnight returns has steadily shifted from a direct association into a strong inverse association over the years. I explain this shift by showing that after 2001, consistent with theoretical models in which binding capital constraints lead to liquidity dry-ups, an overnight decline in the stock market is followed by a further intraday decline for volatile stocks and their reversal over the next overnight period. Moreover, I show that market liquidity of volatile stocks further deteriorates following an overnight market decline, which confirms my proposed explanation. Finally, I show that idiosyncratic volatility, compared with systematic risk, better explains the cross section of the documented systematic intraday declines and overnight reversals.


Informed Corporate Credit Market before Monetary Policy Surprises: Explaining Pre-FOMC Stock Market Movements, with Botao Wu  
Available at SSRN

We show that U.S. corporate bond market movements during the days preceding FOMC announcements can predict monetary policy surprises, as well as the pre-FOMC stock market movements. Starting several days before an expansionary (contractionary) surprise in FOMC decisions, corporate bond prices surge (decline) and yield spreads decline (surge). The pattern is statistically and economically significant. Moreover, corporate bond customers buy (sell) more often from dealers before expansionary (contractionary) surprises, suggesting that in aggregate they have more accurate information about the outcome of FOMC announcements. A portfolio that mimics customer trades is profitable with a Sharpe ratio of 0.64 and is profitable before both contractionary and expansionary surprises. Furthermore, consistent with the informativeness of corporate bond transactions, we show that lagged corporate bond customer-dealer trade imbalances can predict pre-FOMC stock market movements and explain pre-FOMC drift. Corporate bond yield changes “Granger-cause” stock pre-FOMC movements, and a 1% surge in the constructed TRACE bond yield during a 2 p.m.-to-2 p.m. period ending one day before an FOMC announcement, predicts a 5.8% decline in the S&P 500 index for the 2 p.m.-to-2 p.m. period ending on the FOMC meeting day. This bond-to-stock granger causality does not exist for non-pre-FOMC periods and is stronger for the companies with higher probability of default.


Price Impact Illiquidity Ratio, with Angelo Ranaldo  

[Draft available upon request]