Tag Archives: engineering

Brooklyn Quant Experience Lecture Series: Sanjay Nawalkha

Brooklyn Quant Experience Lecture Series, NYU Tandon

The Department of Finance and Risk Engineering at NYU Tandon School of Engineering, welcomes Sanjay K. Nawalkha, Professor of Finance, University of Massachusetts, to the BQE Lecture Series on Thursday, November 5, 2020, at 6 p.m. on Zoom.

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Meeting ID: 945 2031 9822
Password: BQESN

Title

A Theory of Equivalent Expectations Measures for Expected Prices of Contingent Claims

Abstract

This paper introduces a theory of equivalent expectation measures, such as the R measure and the R1T measure, generalizing the martingale pricing theory of Harrison and Kreps (1979) for deriving analytical solutions of expected prices (both the expected current price and the expected future price) of contingent claims. We also present new R-transforms which extend the Q-transforms of Bakshi and Madan (2000) and Duffie et al. (2000), for computing the expected prices of a variety of standard and exotic claims under a broad range of stochastic processes. Finally, as a generalization of Breeden and Litzenberger (1978), we propose a new concept of the expected future state price density which allows the estimation of the expected future prices of complex European contingent claims as well as the physical density of the underlying asset’s future price, using the current prices and only the first return moment of standard European OTM call and put options.

Bio

Sanjay Nawalkha is a Professor of Finance at the Isenberg School of Management. His areas of research are fixed income valuation, derivative pricing, and asset pricing. Professor Nawalkha chaired the Finance Department at the Isenberg School of Management from Sept. 2011 until August 2018. He has co-authored four books, Dynamic Term Structure Modeling: The Fixed Income Valuation Course (Wiley & Sons, 2007), Interest Rate Risk Modeling: The Fixed Income Valuation Course (Wiley & Sons, 2005), Interest Rate Risk Measurement and Management (Institutional Investors, 1999) and Closed-Form Duration Measures and Strategy Applications (The Research Foundation of the Institute of Chartered Financial Analysts, 1990). He has published over 35 scholarly articles in the areas of term structure modeling, risk management, and arbitrage pricing theory.

[Virtual] Brooklyn Quant Experience Lecture Series: Glenn Shafer

In light of NYU’s ongoing response to COVID-19, our BQE Lecture Series will take place virtually using Zoom. 

Brooklyn Quant Experience Lecture Series, NYU TandonDear All,

You are cordially invited to the Brooklyn Quant Experience Lecture Series (BQE) on Thursday, April 2nd at 6 p.m.  

Attend Virtually >>

Dr. Glenn Shafer will present a talk on the following topic:

Title:

Let’s Replace P-Values with Betting Outcomes!

Abstract

How can we test the constantly fluctuating probabilities that Nate Silver offers for the outcomes of elections and sporting events? The natural (and perhaps only) way is to interpret Silver’s probabilities as betting offers and to bet against him. He fails our test if we multiply our money by a large factor. We can test a statistical hypothesis, as well as the efficiency of a financial market, in the same way. In the case of statistical hypotheses, this leads to a new understanding of likelihood ratios and to an alternative to the notion of power. See Working Paper 54 at www.probabilityandfinance.com and Game-Theoretic Foundations for Probability and Finance (Glenn Shafer and Vladimir Vovk, Wiley, 2019).

Bio:

Glenn Shafer is best known for his work on the Dempster-Shafer theory of belief functions, especially his 1976 book A Mathematical Theory of Evidence. Beginning in the 1980s, Glenn has studied the mathematical, philosophical, and historical foundations of standard probability theory and on its limitations as a theory of evidence. Since the 1990s, he has collaborated with Vladimir Vovk on understanding the benefits of using betting games (as opposed to measure theory) as a mathematical foundation for the standard theory. Glenn began his career as an educator by teaching geometry in Afghanistan in 1968; he subsequently taught at Princeton, the University of Kansas, and Rutgers. From January 2011 to December 2014, he served as dean of the Rutgers Business School.

Click on link below for the full spring BQE Lecture Series:
https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering/upcoming-events