Experiments in Quantitative Finance

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A01=Joel Gibbons
Author_Joel Gibbons
Backtest Results
Black Scholes Assumptions
Category=KFF
Computing Option Values
dynamic economic modeling
empirical asset analysis
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Expected Price Change
Federal Reserve
Finance Sector Profits
financial time series
Fixed Income Portfolio
Forward Rates
High Volatility State
Inflation Forecasting Model
Interest Rate Arbitrage
Joel Clarke Gibbons
Logit Models
Logit Statistics
Low Volatility State
Markovian Matrix
Markovian Transition Matrix
Nelson Siegel Model
Nontrading Days
NS Model
option pricing theory
quantitative market analysis applications
Real Gdp
risk quantification methods
statistical inference finance
Total Return
treasury
Treasury Yield Curve
Treasury Yields
Vice Versa
Yield Curve

Product details

  • ISBN 9781412845915
  • Weight: 430g
  • Dimensions: 152 x 229mm
  • Publication Date: 15 Nov 2011
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Paperback
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This book presents a novel approach to characterizing markets in quantitative terms. The examples cut across the world of interest rates, price of gold, stock market and corporate worlds that the stock market rests on, and the pricing of options on financial instruments. The emphasis is on methods of inquiry, methods that can just as easily be applied to other markets and other economic phenomena as well. The goal is to make the methods available to the widest possible audience of quantitative analysts and to the trading desks and investment plans they feed.

Quantitative research and modeling in finance and economics have a long history going back to Frank Ramsey, mathematician, logician, and economist, who pioneered the application of dynamic models in economics in the 1920s, and to his theory of the Ramsey Tax, which is a rule for apportioning tax rates in a way that raises the maximum tax revenues while impacting the decisions of taxpayers as little as possible. The opposite would be a tax so inefficient that it causes people to avoid doing whatever it is that subjects them to the tax.

These experiments yield valuable insight into economic affairs, but they are only a stepping-stone for others—a starting point for discovery. Foremost among them is locating usable statistical findings to the investment world. Gibbons' intention is not to provide investment advice, it is to provide education. These data are subject to changing results, but that should not diminish their educational value. This is a proactive fusion of business economics and sound social science methods.

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