Articles scientifiques

Catching Falling Knives: Speculating on Liquidity Shocks


Management Science

août 2017, vol. 63, n°8, pp.2573-2591

Départements : Finance, GREGHEC (CNRS)

Mots clés : supply information • nonfundamental uncertainty • market crashes • arbitrage • high-frequency trading

Many market participants invest resources to acquire information about liquidity rather than fundamentals. I show that agents using such information can reduce the magnitude of short-lived pricing errors by trading against liquidity shocks. However, the short-run stabilizing effect of this behavior also makes it more difficult to identify liquidity shocks, a signal-jamming effect that slows down price discovery in the long run. As more agents invest in nonfundamental information, market prices become more resilient to liquidity shocks but also recover more slowly from temporary price deviations.



Journal of Financial and Quantitative Analysis

septembre 2017, vol. 52, n°5, pp.2183–2215

Départements : Finance, GREGHEC (CNRS)

Mots clés : Collateral, Counterparty Risk, Derivatives Markets, Extreme Dependence

We present CoMargin, a new methodology to estimate collateral requirements in derivatives central counterparties (CCPs). CoMargin depends on both the tail risk of a given market participant and its interdependence with other participants. Our approach internalizes trading externalities and enhances the stability of CCPs, thus, reducing systemic risk concerns. We assess our methodology using proprietary data from the Canadian Derivatives Clearing Corporation that includes daily observations of the actual trading positions of all of its members from 2003 to 2011. We show that CoMargin outperforms existing margining systems by stabilizing the probability and minimizing the shortfall of simultaneous margin-exceeding losses

Dynamic Dependence and Diversification in Corporate Credit


Review of Finance

2017, pp.1-40

Départements : Finance, GREGHEC (CNRS)

Mots clés : Credit risk, Default risk, CDS, Dynamic dependence, Copula

We characterize dependence in corporate credit and equity returns for 215 firms using a new class of large-scale dynamic copula models. Copula dependence and especially tail dependence are highly variable and persistent, increase significantly in the financial crisis, and have remained high since. The most drastic increases in credit dependence occur in July/August of 2007 and in August of 2011 and the decrease in diversification potential caused by the increases in dependence and tail dependence is large. Credit default swap correlation dynamics are important determinants of credit spreads

Housing Collateral and Entrepreneurship


The Journal of Finance

février 2017, vol. 72, n°1, pp.99-132

Départements : Finance

We show that collateral constraints restrict firm entry and postentry growth, using French administrative data and cross-sectional variation in local house-price appreciation as shocks to collateral values. We control for local demand shocks by comparing treated homeowners to controls in the same region that do not experience collateral shocks: renters and homeowners with an outstanding mortgage, who (in France) cannot take out a second mortgage. In both comparisons, an increase in collateral value leads to a higher probability of becoming an entrepreneur. Conditional on entry, treated entrepreneurs use more debt, start larger firms, and remain larger in the long run.

Investor Horizon and the Life Cycle of Innovative Firms: Evidence from Venture Capital


Management Science

septembre 2017, vol. 63, n°9, pp.3021-3043

Départements : Finance

Mots clés : finance; innovation; venture capital; entrepreneurship; investor horizon

This paper studies whether and how the contractual horizon of venture capital funds affects their investments in innovative firms. I find that funds with a longer remaining horizon select younger companies at an earlier stage of their development, which grow their patent stock significantly more than companies financed by funds with a shorter horizon. The sensitivity of investment decisions to horizon is stronger among experienced venture capital firms, who allocate investments across a larger number of fund vintages. Finally, I find that the interaction of funds’ fixed horizon with their option-like compensation structure affects their investment decisions: when early performance has been high, fund managers target less innovative companies. These findings shed light on the drivers of venture capital investment decisions and on their implications for the type of companies that receive venture capital financing