Statistical Models and Methods for Financial Markets (Springer Texts in Statistics) - Image 1

£72.96

Springer Statistical Models and Methods for Financial Markets (Springer Texts in Statistics)

Name: Statistical Models and Methods for Financial Markets (Springer Texts in Statistics)
Brand: Springer
Price: 72.96 GBP
Availability: InStock

Public

This is the most expensive it has ever been. Walk away.

£73 today · previous high £73 · all-time low £70

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 62 days • 62 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 62 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £73 (60 days, 96.8%)

Price range: £70 - £73

Price levels: 2 different prices over 62 days

Description

The idea of writing this bookarosein 2000when the ?rst author wasassigned to teach the required course STATS 240 (Statistical Methods in Finance) in the new M. S. program in ?nancial mathematics at Stanford, which is an interdisciplinary program that aims to provide a master’s-level education in applied mathematics, statistics, computing, ?nance, and economics. Students in the programhad di?erent backgroundsin statistics. Some had only taken a basic course in statistical inference, while others had taken a broad spectrum of M. S. - and Ph. D. -level statistics courses. On the other hand, all of them had already taken required core courses in investment theory and derivative pricing, and STATS 240 was supposed to link the theory and pricing formulas to real-world data and pricing or investment strategies. Besides students in theprogram,thecoursealso attractedmanystudentsfromother departments in the university, further increasing the heterogeneity of students, as many of them had a strong background in mathematical and statistical modeling from the mathematical, physical, and engineering sciences but no previous experience in ?nance. To address the diversity in background but common strong interest in the subject and in a potential career as a “quant” in the ?nancialindustry,thecoursematerialwascarefullychosennotonlytopresent basic statistical methods of importance to quantitative ?nance but also to summarize domain knowledge in ?nance and show how it can be combined with statistical modeling in ?nancial analysis and decision making. The course material evolved over the years, especially after the second author helped as the head TA during the years 2004 and 2005.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 0387778268
Category: Books > Subjects > Business, Finance & Law > Professional Finance > Public
Domain: Amazon UK
Release Date: 25 July 2008
Listed Since: 28 January 2008

Barcode

No barcode data available

Springer Statistical Models and Methods for Financial Markets (Springer Texts in Statistics)

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Mathematical Modeling and Computation in Finance: With Exercises and Python and MATLAB Computer Codes

Equity Derivatives and Hybrids: Markets, Models and Methods (Applied Quantitative Finance)

Tidy Finance with Python (Chapman & Hall/CRC The Python Series)

Mathematical Modeling and Computation in Finance: With Exercises and Python and MATLAB Computer Codes

Tidy Finance with Python - Chapman and Hall/CRC Textbook

Derivatives and Internal Models: Modern Risk Management (Finance and Capital Markets Series)

Mathematical Methods for Finance: Tools for Asset and Risk Management: 207 (Frank J. Fabozzi Series)

Quantitative Finance: An Object-Oriented Approach in C++ (Chapman and Hall/CRC Financial Mathematics Series)

Handbook of Quantitative Finance and Risk Management

Pathwise Estimation and Inference for Diffusion Market Models

The Economics of Continuous–Time Finance (The MIT Press)

Market Risk Analysis, Quantitative Methods in Finance (The Wiley Finance Series)

Capital Market Finance: An Introduction to Primitive Assets, Derivatives, Portfolio Management and Risk (Springer Texts in Business and Economics)

Statistical Analysis of Financial Data: With Examples In R (Chapman & Hall/CRC Texts in Statistical Science)

Springer Advanced Modelling in Mathematical Finance - Vol 189

Tidy Finance with R (Chapman & Hall/CRC The R Series)

Advanced Modelling in Mathematical Finance: In Honour of Ernst Eberlein: 189 (Springer Proceedings in Mathematics & Statistics, 189)

Mathematical Finance: Core Theory, Problems and Statistical Algorithms (Routledge Advanced Texts in Economics and Finance)

Lectures On The Theory And Application Of Modern Finance With R And Chatgpt: 10 (World Scientific Lecture Notes in Finance)

Market Tremors: Quantifying Structural Risks in Modern Financial Markets

Quantitative Finance with Case Studies in Python: A Practical Guide to Investment Management, Trading and Financial Engineering (Chapman and Hall/CRC Financial Mathematics Series)

Market Risk Analysis, Practical Financial Econometrics (The Wiley Finance Series)

Stochastic Finance with Python: Design Financial Models from Probabilistic Perspective

Measure, Probability, and Mathematical Finance: A Problem-Oriented Approach