Tag Archives: valuation

Brooklyn Quant Experience Lecture Series: Roza Galeeva

Brooklyn Quant Experience Lecture Series, NYU Tandon

Roza Galeeva, Adjunct Professor, NYU Tandon FRE, will give the following talk on Thursday, March 11th at 9:30 AM EST. 
*Kindly note that we have changed the time to 9:30 AM on Thursdays. The new time change allows our invited international guests to join these important virtual talks.

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Meeting ID: 928 3123 9504
Password: FREBQERG

Title

In Pursuit of Samuelson: Studies of Commodity Volatilities and Correlations

Abstract

Empirical analysis of price returns is an essential component in the valuation methods in any asset class. Energy commodities present unique challenges: seasonality and inventory are crucial for covariance structure; forward price volatility increases dramatically while approaching contract’s expiration: the famous Samuelson effect; liquidity in commodity futures and options liquidity is concentrated at short tenors.

This fact makes the term structure of volatility and correlations very important in pricing and hedging decisions. In this presentation, I give the results of my work with NYU students devoted to this subject. We will follow three goals:

  • Parameterization of Samuelson effect and the calibration procedures for commodities futures, including seasonal commodities as gas and power.
  • Samuelson effect for commodity correlations, parameterizing calendar correlations.
  • Contrast between the traditional Black and its long-ago predecessor Bachelier model in view of recent dramatic events in oil markets in Spring 2020.

Bio

Roza Galeeva has extensive experience of over 18 years with commodity derivatives – modelling, pricing, and risk management. She has been employed at senior levels as a quant at Williams Energy, Northeast Utilities, and most recently, for 13 years, 2005-2018 at Morgan Stanley. She worked at MS in different roles and departments, including the Valuation Group, and later the MS strats and modelling group. Prior to the industry, Roza was teaching courses in mathematics in different countries. She has a PhD from Moscow State University in Mathematical Physics. She published papers in geometry, PDE, dynamical systems, and financial engineering. She made her come back to academia in 2017 at NYU with teaching courses in financial engineering and working with NYU students on research projects on Commodity Derivatives.

Brooklyn Quant Experience Lecture Series: Laura Ballotta

Brooklyn Quant Experience Lecture Series, NYU Tandon

 Laura Ballotta, Reader in Financial Mathematics at Cass Business School, will give the following talk on Thursday, March 4th at 9:30 AM EST. 
*Kindly note that we have changed the time to 9:30 AM on Thursdays. The new time change allows our invited international guests to join these important virtual talks.

Attend Virtually >>

Meeting ID: 999 3949 8124
Password: FREBQELB

Title

Fourier-based methods for the management of complex insurance products

Abstract

This paper proposes a framework for the valuation and the management of complex life insurance contracts, whose design can be described by a portfolio of embedded options, which are activated according to one or more triggering events. These events are in general monitored discretely over the life of the policy, due to the contract terms. Similar designs can also be found in other contexts, such as counterparty credit risk for example.

The framework is based on Fourier transform methods as they allow to derive convenient closed analytical formulas for a broad spectrum of underlying dynamics. Multidimensionality issues generated by the discrete monitoring of the triggering events are dealt with efficiently designed Monte Carlo integration strategies. We illustrate the tractability of the proposed approach by means of a detailed study of ratchet variable annuities, which can be considered a prototypical example of these complex structured products.

This is joint work with Ernst Eberlein, Thorsten Schmidt and Raghid Zeineddine.

Bio

Laura Ballotta is a reader in Financial Mathematics at Cass Business School, London. She works in the areas of quantitative finance and risk management and has written on topics including stochastic modelling for financial valuation and risk management, numerical methods aimed at supporting financial applications, and the interplay between finance and insurance. She holds a Ph.D. in Mathematical and Computational Methods for Economics and Finance from the Università degli Studi di Bergamo (Italy).