Sergei Glebkin

Assistant Professor of Finance,
INSEAD


Publications

Funding Constraints and Informational Efficiency (with Naveen Gondhi & John Kuong), accepted at RFS

We analyze a tractable rational expectations equilibrium model with margin constraints. We argue that constraints affect and are affected by informational efficiency, leading to a novel amplification mechanism. A decline in wealth tightens constraints and reduces investors’ incentive to acquire information, lowering price informativeness. Lower informativeness, in turn, increases the risk borne by financiers who fund trades, leading them to further tighten constraints faced by investors. This information spiral leads to (i) significant increases in risk premium and return volatility in crises, when investors’ wealth declines, (ii) complementarities in information acquisition in crises, and (iii) complementarities in margin requirements.

Working Papers

Simultaneous Multilateral Search (with Ji Shen and Bart Zhou Yueshen), R&R RFS

This paper studies simultaneous multilateral search (SMS) in over-the-counter (OTC) markets: when searching, an investor contacts several potential counterparties and then trades with the one offering the best quote. Search intensity (how frequently one can search) and search capacity (how many potential counterparties one can contact) affect market qualities differently. Contrasting SMS to bilateral bargaining (BB), the model shows that investors might favor BB over SMS if search intensity is high or in distress. Such preference for BB hurts allocative efficiency and suggests an intrinsic hindrance in the adoption of all-to-all and request-for-quote type of electronic trading in OTC markets.

Asset Prices and Liquidity with Market Power and Non-Gaussian Payoffs (with Semyon Malamud and Alberto Teguia), R&R RFS

We consider an economy populated by CARA investors who trade, accounting for their price impact, multiple risky assets with arbitrary distributed payoffs. We propose a constructive solution method: finding the equilibrium reduces to solving a linear ordinary differential equation. With market power and non-Gaussian payoffs: (i) the equilibrium is nonlinear and the model can speak to key stylized facts regarding asymmetry and nonlinearity of price response to order imbalances, (ii) when risk aversion decreases, there are more liquidity providers and/or there is less uncertainty about future asset payoffs, liquidity can decrease, (iii) cross-section of returns is affected by endogenous illiquidity.

When Large Traders Create Noise (with John Kuong)

We consider a market where large investors do not only trade on information about asset fundamentals. When they trade more aggressively, the price becomes less informative. Other investors who learn from prices, in turn, are less concerned about adverse selection and provide more liquidity, causing large investors to trade even more aggressively. This trading complementarity can engender three unconventional results: i) increased competition among large investors makes all investors worse off, ii) more precise private information reduces price informativeness, creating complementarities in information acquisition, and iii) multiple equilibria emerge. Our results have implications for competition and transparency policies in financial markets.

Working Papers on Hold

Liquidity versus Information Efficiency

(Subsumed by "When Large Traders Create Noise")

I analyse liquidity, information efficiency and welfare in a market with large and small traders. Large traders create noise in the price for small traders, and vice versa, due to private value differences across the two groups. More liquidity induces large traders to trade more aggressively, creating more noise for small traders; less informative prices, in turn, incite small traders to provide more liquidity. Implications of this interaction are twofold: (i) an increase in competition between large traders may make all traders worse-off, (ii) an increase in the quality of private information may reduce information efficiency.

Strategic Trading without Normality

(Subsumed by "Asset Prices and Liquidity with Market Power and Non-Gaussian Payoffs")

I present a model of strategic trading a la Kyle (1989) that does not require the assumption of normally distributed asset payoffs. I propose a constructive solution method: finding the equilibrium reduces to solving a linear ordinary differential equation. With non-normal payoffs, the price response becomes an asymmetric, non-linear function of order size: greater for buys than sells and concave (convex) for small sell (buy) orders when asset payoffs are positively skewed; concave for large sell (buy) orders when payoffs are bounded below (above). The model can speak to key empirical findings and provides new predictions concerning the shape of price impact.

Capital Market Equilibrium with Competition Among Institutional Investors (with Dmitry Makarov)

We develop a dynamic general equilibrium model to study how competition among institutional investors affects the stock market characteristics - level, expected return, and volatility. We consider an economy in which multiple fund managers strategically interact with each other, as each manager tries to increase her performance relative to the others. We fully characterize an equilibrium in this economy, and find that a more intense competition is associated with a higher level of the market, lower expected market return, while market volatility is not affected by competition. These findings are broadly consistent with the data.