Skip to main content
Official Logo of Columbia Business School
Academics
  • Visit Academics
  • Degree Programs
  • Admissions
  • Tuition & Financial Aid
  • Campus Life
  • Career Management
Faculty & Research
  • Visit Faculty & Research
  • Academic Divisions
  • Search the Directory
  • Research
  • Faculty Resources
  • Teaching Excellence
Executive Education
  • Visit Executive Education
  • For Organizations
  • For Individuals
  • Program Finder
  • Online Programs
  • Certificates
About Us
  • Visit About Us
  • CBS Directory
  • Events Calendar
  • Leadership
  • Our History
  • The CBS Experience
  • Newsroom
Alumni
  • Visit Alumni
  • Update Your Information
  • Lifetime Network
  • Alumni Benefits
  • Alumni Career Management
  • Women's Circle
  • Alumni Clubs
Insights
  • Visit Insights
  • Digital Future
  • Climate
  • Business & Society
  • Entrepreneurship
  • 21st Century Finance
  • Magazine
CBS Landing Image
Faculty & Research
  • Academic Divisions
  • Search the Faculty
  • Research
  • Faculty Resources
  • News
  • More 

Financial Engineering

See the latest research, articles and faculty on the Financial Engineering Area of Expertise at Columbia Business School.

Jump to main content

Latest on Financial Engineering

No articles have been found by those filters.

Pagination

  • Page 1
  • Page 2
  • Current page 3

Financial Engineering Faculty

CBS Faculty Research on Financial Engineering

Nonparametric Estimation of American Option Exercise Boundaries and Call Prices

Authors
Mark Broadie, Jerome Detemple, Eric Ghysels, and O. Torres
Date
January 1, 2000
Format
Journal Article
Journal
Journal of Economic Dynamics and Control

Unlike European-type derivative securities, there are no simple analytic valuation formulas for finite-lived American options, even when the underlying asset price has constant volatility. The early exercise feature considerably complicates the valuation of American contracts. The strategy taken in this paper is to rely on nonparametric statistical methods using market data to estimate the call prices and the exercise boundaries. A comparison is made with parametric constant volatility model-based prices and exercise boundaries.

Read More about Nonparametric Estimation of American Option Exercise Boundaries and Call Prices

Pricing American options by simulation using a stochastic mesh with optimized weights

Authors
Mark Broadie, Paul Glasserman, and Zachary Ha
Date
January 1, 2000
Format
Chapter
Book
Probabilistic constrained optimization: Methodology and applications

This chapter develops a simulation method for pricing path-dependent American options, and American options on a large number of underlying assets, such as basket options. Standard numerical procedures (lattice methods and nite difference methods) are generally inapplicable to such high-dimensional problems, and this has motivated research into simulation-based methods. The optimal stopping problem embedded in the pricing of American options makes this a nonstandard problem for simulation. This chapter extends the stochastic mesh introduced in Broadie and Glasserman.

Read More about Pricing American options by simulation using a stochastic mesh with optimized weights

Arbitrage-free discretization of lognormal forward Libor and swap rate models

Authors
Paul Glasserman and Xiaoliang Zhao
Date
January 1, 2000
Format
Journal Article
Journal
Finance and Stochastics

An important recent development in the pricing of interest rate derivatives is the emergence of models that incorporate lognormal volatilities for forward Libor or forward swap rates while keeping interest rates stable. These market models have three attractive features: they preclude arbitrage among bonds, they keep rates positive, and, most distinctively, they price caps or swaptions according to Black's formula, thus allowing automatic calibration to market data. But these features of continuous-time formulations are easily lost when the models are discretized for simulation.

Read More about Arbitrage-free discretization of lognormal forward Libor and swap rate models

State Dependent Jump Models: How Do U.S. Equity Markets Jump?

Authors
Michael Johannes, Rohit Kumar, and Nicholas Polson
Date
September 1, 1999
Format
Working Paper

This paper introduces a class of state dependent jump (SDJ) models in which the arrival intensity and jump sizes depend on a given set of state variables, including lagged jumps. With this model, we investigate the structure of jumps to U.S. equity indices, concentrating on the predictability of jumps times if found for all of the indices considered: Standard and Poor's 500 and Mid-Cap, the Russell 1000, 2000, and 3000 indices, the Wilshire 5000 and the Nasdaq 100 (NDX).

Read More about State Dependent Jump Models: How Do U.S. Equity Markets Jump?

Cases in Real Estate Finance and Investment Strategy

Authors
Lynne Sagalyn
Date
May 1, 1999
Format
Book
Publisher
The Urban Land Institute
Read More about Cases in Real Estate Finance and Investment Strategy

Asymptotically optimal importance sampling and stratification for pricing path-dependent options

Authors
Paul Glasserman, Philip Heidelberger, and Perwez Shahabuddin
Date
April 1, 1999
Format
Journal Article
Journal
Mathematical Finance

This paper develops a variance reduction technique for Monte Carlo simulations of path-dependent options driven by high-dimensional Gaussian vectors. The method combines importance sampling based on a change of drift with stratified sampling along a small number of key dimensions. The change of drift is selected through a large deviations analysis and is shown to be optimal in an asymptotic sense. The drift selected has an interpretation as the path of the underlying state variables which maximizes the product of probability and payoff—the most important path.

Read More about Asymptotically optimal importance sampling and stratification for pricing path-dependent options

Nontraded Asset Valuation with Portfolio Constraints: A Binomial Approach

Authors
Jerome Detemple and M. Suresh Sundaresan
Date
January 1, 1999
Format
Journal Article
Journal
Review of Financial Studies

We provide a simple binomial framework to value American-style derivatives subject to trading restrictions. The optimal investment of liquid wealth is solved simultaneously with the early exercise decision of the nontraded derivative. No-short-sales constraints on the underlying asset manifest themselves in the form of an implicit dividend yield in the risk-neutralized process for the underlying asset. One consequence is that American call options may be optimally exercised prior to maturity even when the underlying asset pays no dividends.

Read More about Nontraded Asset Valuation with Portfolio Constraints: A Binomial Approach

Stratification Issues in Estimating Value-at-Risk

Authors
Paul Glasserman, Peter Heidelberger, and Perwez Shahabuddin
Date
January 1, 1999
Format
Chapter
Book
Proceedings of the 1999 Winter Simulation Conference

This paper considers efficient estimation of value-at-risk, which is an important problem in risk management. The value-at-risk is an extreme quantile of the distribution of the loss in portfolio value during a holding period. An effective importance sampling technique is described for this problem. The importance sampling can be further improved by combining it with stratified sampling. In this setting, an effective stratification variable is the likelihood ratio itself.

Read More about Stratification Issues in Estimating Value-at-Risk

Two Principles for the Next Round or, How to Bring Developing Countries in from the Cold

Authors
Joseph Stiglitz
Date
January 1, 1999
Format
Journal Article
Journal
World Economy

The author argues that trade liberalization must be balanced in agenda, process and outcomes, including not only sectors in which developed countries have a comparative advantage, like financial services, but also those in which developing countries have a special interest, like agriculture and construction services. Account must be taken of the marked disadvantage that developing countries have in participating meaningfully in negotiations.

Read More about Two Principles for the Next Round or, How to Bring Developing Countries in from the Cold

Pagination

  • First page 1
  • Ellipsis …
  • Page 24
  • Page 25
  • Page 26
  • Page 27
  • Current page 28
  • Page 29
  • Page 30
  • Page 31
  • Page 32
  • Ellipsis …
  • Last page 39

External CSS

Homepage Breadcrumb Block

Official Logo of Columbia Business School

Columbia University in the City of New York
665 West 130th Street, New York, NY 10027
Tel. 212-854-1100

Maps and Directions
    • Centers & Programs
    • Current Students
    • Corporate
    • Directory
    • Support Us
    • Recruiters & Partners
    • Faculty & Staff
    • Newsroom
    • Careers
    • Contact Us
    • Accessibility
    • Privacy & Policy Statements
Back to Top Upward arrow
TOP

© Columbia University

  • X
  • Instagram
  • Facebook
  • YouTube
  • LinkedIn
Back to top

Accessibility Tools

English French German Italian Spanish Japanese Russian Chinese (Simplified) Chinese (Traditional) Arabic Bengali