Research

Working Papers

Real term premia of risk-free bonds exhibit substantial variation over time. This paper shows that stochastic volatility can give rise to such behaviour, with the required amount of volatility in consumption or wealth being similar to the amount of volatility in the stock market. This explanation is consistent with both the intermediary asset pricing approach and with supply and demand driven explanations, in both of which a small group of investors play a special role in the pricing of securities. Furthermore, under standard preferences and without time-varying risk aversion such stochastic volatility is also necessary to explain real term premia. The paper analyses models with both time-separable and recursive preferences. The latter model variations are solved via a novel perturbation method with respect to the parameter for intertemporal elasticity of substitution.

I illustrate a novel method for pricing assets within recursive utility models in continuous time, that has first been used in Melissinos (2023). My method builds on the analytic solution of Tsai and Wachter (2018). While their solution is valid for a value of the intertemporal elasticity of substitution equal to 1, I provide the full perturbation series in terms of the IES, which gives rise to a global perturbation approximation in terms of the state variable. This allows the pricing of assets for a much larger range of values for the IES, which are economically meaningful. I comment on the convergence properties of the perturbation series, and I show that the method provides a straightforward and reliable approach to asset pricing. I employ my method to derive prices of long-term bonds, the price consumption ratio and the instantaneous return of the consumption perpetuity.

with Mariia Bondar

In this paper, we introduce a framework with multidimensional skills, in which we estimate how fast skills accumulate due to on-the-job experience. We model an individual’s wage as a weighted sum of her productivities in different skills. We call this skill-specific productivity expertise. Since expertise is not directly observable, we proxy this variable with skill-specific experience, which depends on the years of labor market experience across different occupations and the importance of the corresponding skill in those occupations. We compute skill-specific experience using the data on occupational skill requirements from O*NET. We then estimate the wage equation using skill-specific experience to evaluate the speed of expertise accumulation (learning rate) in different skills. We find that expertise in different skills grows with skill-specific experience and that different skills exhibit different learning rates.

In this paper, I perform Bayesian estimations of the monetary policy rule parameters for various structural New Keynesian models. I find that the estimates depend on the model specification, and there are no robust estimates that are valid across a variety of models. In addition, my results are also consistent with the existence of a structural break in the conduct of monetary policy in the US at the 1980s.

Work in Progress

I showcase a method for evaluating monetary policy. I introduce a simple model, in which monetary policy can directly affect the magnitude of consumption growth. I argue that within such a framework evaluation of monetary policy can be simpler than the standard approach of the literature. In addition, a development of this approach could facilitate market-based evaluations of monetary policy that are based on fluctuations of real interest rates in response to monetary policy shocks.

Jointly Explaining Stock Market Non-Participation and the Equity Premium

I am working on a heterogeous agent model that shows the level of stock participation of individuals with different levels of risk aversion. I start by deriving the term structure of interests rates and the equity premium based on a consumption process with high levels of consumption volatility. I then derive the optimal investment and consumption levels of more risk-averse investors, including when there is a small friction in investing. I analyze the resulting stock market participation levels, the equity premium and the level of risk sharing provided by markets.

Teaching

Pre-semester PhD Course: Real Analysis
Webinar: Cryptocurrencies and Decentralised Finance
Webinar: Pandas in Python for Economics and Finance
Webinar: Introduction to Web-scraping
Seminar: APIs for Financial Databases