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David Shimko
Financial Executive
Professor
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Professor David Shimko is the founder and principal consultant of Wall Street Scholars. He currently teaches valuation, financial engineering and risk management in the FRE Department of New York University's Tandon School of Engineering.
At Wall Street Scholars, David works with clients globally in evaluating, designing and implementing risk management policies, strategies, programs and evaluation tools. He worked first with Risk Capital (1999-2007) and then independently (2007-2017) to provide high-level strategic risk advice, expert witness testimony, analytical systems, and tools in the fields of valuation, risk management and risk governance. From 1999-2004, he was also an Adjunct Professor of Finance at the Harvard Business School.
Before co-founding Risk Capital, David worked with Bankers Trust as principal and head of risk management advisory group. He patented and co-developed CoVar, an initiative of Bankers Trust designed to provide credit risk management services to the energy industry.
Prior to Bankers Trust, he was Vice President and head of Risk Management Research at J.P. Morgan Securities , responsible for ongoing research into strategic and analytical commodity derivatives research on Morgan's trading desk.
- Position: Industry Full Professor
- Affiliation: NYU
- Papers: 2
- Location: , United States
Education
- Doctorate (Finance)
1982-1987, Northwestern University
Selected Experiences
Selected Papers
Finance in Continuous Time: A Primer (out of print)
This textbook introduces students to the basics of stochastic calculus while inviting them to solve cash flow valuation problems. This provides a useful foundation for the further study of derivatives pricing. Numerous exercises are provided with solutions.
Financial Executive
David Shimko
Feb 2024
Derivatives
269
A Structural Model for Capital Asset Prices
Reframing modern portfolio theory with Gaussian cash flows rather than percentage returns, the CFPM (cash flow portfolio model) sets a structural foundation for valuing both traditional capital assets and derivatives. Asset prices are shown to be decreasing functions of both cash flow covariances and variances. The usual single-period CAPM formulas can be derived, but the expected returns are determined endogenously. All risk is implicitly priced in expected returns, leading to reinterpreted rules for portfolio selection and capital budgeting. Derivatives obey the same total covariance-based pricing relationships as cash flows, except that they exist in zero net supply. Together with a single no-arbitrage convexity constraint, the Bachelier and Black-Scholes/Merton option pricing models are derived in a discrete time setting without continuous trading. The closed-form CFPM extends to multiple periods. The resulting model aspires to replace multiperiod discounting of cash flows at constant single-period CAPM discount rates.
Financial Executive
David Shimko
Feb 2024
Asset Valuation
366