Exchange Rate Prediction using Support Vector Machines: A comparison with Artificial Neural Networks - Image 1

£52.00

LAP Lambert Academic Publishing Exchange Rate Prediction using Support Vector Machines: A comparison with Artificial Neural Networks

Name: Exchange Rate Prediction using Support Vector Machines: A comparison with Artificial Neural Networks
Brand: LAP Lambert Academic Publishing
Price: 52.0 GBP
Availability: InStock

Probability & Statistics

Price data last checked 10 day(s) ago - will refresh soon

View at Amazon

We'll watch every seller, every day. One email when your price arrives.

It has never been this cheap. We have no record of a lower price.

£52 today · cheaper than every other day in the last 3 months

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 81 days · 81 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 81 days • 1 price levels

Days at Price

Price Analysis

Most common price: £52 (81 days, 100.0%)

Price range: £52 - £52

Price levels: 1 different prices over 81 days

Description

With an estimated $4.0 trillion average daily turnover, the global foreign currency exchange market is undoubtedly considered the largest and most liquid of all financial markets. The exchange market is a complex, nonlinear, and a dynamic system of which its time series, represented by the exchange rates, are inherently noisy, non-stationary, non-linear, and of an unstructured nature. These characteristics, combined with the immense trading volume and the many correlated influencing factors of economic, political, and psychological nature, has made exchange rate prediction one of the most difficult and demanding applications of financial forecasting, and an issue of much interest to both academic and economic communities. Being able to accurately forecast exchange rate movements provides considerable benefits to both firms and investors. This research aims to propose a decision support aid to these firms and investors, enabling them to better anticipate on possible future exchange rate movements, based on one of the most promising prediction models recently developed within computational intelligence: the Support Vector Machine.

Product Specifications

Brand: LAP Lambert Academic Publishing
Format: paperback
ASIN: 3845408529
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Probability & Statistics
Domain: Amazon UK
Release Date: 20 October 2011
Listed Since: 22 October 2011

Barcode

No barcode data available

LAP Lambert Academic Publishing Exchange Rate Prediction using Support Vector Machines: A comparison with Artificial Neural Networks

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Modelling Exchange Rate Volatility:: The Nigerian Foreign Exchange Market Experience

Mathematical Modelling of Exchange Rate Risk: Modelling a newsvendor problem and risk hedging in various business environments

Financial Derivatives Pricing using Artificial Neural Networks

Exchange Rate Volatility and International Trade: The Case of Indian IMPEX

Currency Forecasting with Markov Switching Models: Exploring the Joint Behavior of the Term Structure of Forward Exchange Rate Premia and the Term Structure of Interest Rates

Exchange Market Algorithm and its Applications

Intelligent Systems and Financial Forecasting (Perspectives in Neural Computing)

Wavelet Neural Networks: With Applications in Financial Engineering, Chaos, and Classification

Computational Intelligence in Economics and Finance (Advanced Information Processing)

Price forecasting comparison in single settlement electricity markets: Some aspects of price forecasting in real time single settlement competitive electricity markets

On Some Aspects of Forecasting Methods: A Comparative Performance of Advanced Forecasting Models

Information Signals, Foreign Investment And Investor Confidence: An Evidence from Istanbul Stock Exchange Market

A Neural Network Based Model for Software Cost Estimation

A Return-Volatility-Volume Analysis of Indian Stock Market: Contemporaneous and Causal Relationship, Efficient Market Hypothesis

Predicting the Performance of Cross-Country Skiers Using Machine Learn

Monograph on Algorithmic Trading and Market Efficiency: A Deep Dive into AI-Driven Strategies

Computational Intelligence Applications to Option Pricing, Volatility Forecasting and Value at Risk: 697 (Studies in Computational Intelligence, 697)

Prediction Markets: Fundamentals, Designs, and Applications

Stochastic Disaggregation Modelling of Rainfall series: Application of Artificial Neural Network to Disaggregation of Rainfall Time Series

HEDGING FOREIGN EXCHANGE EXPOSURE FOR FOREIGN CURRENCY RISK

Money, Stock Prices and Central Banks: A Cointegrated VAR Analysis: 0 (Contributions to Economics)

Robastnye neparametricheskie otsenki: Adaptivnye otsenki vzveshennogo maksimal'nogo pravdopodobiya v usloviyakh statisticheskoy apriornoy neopredelennosti

IT methods and transition in economics: ECONOMIC MODELLING OF COUNTRIES IN TRANSITION AND ARTIFICIAL INTELLIGENCE APPLICATIONS TO ECONOMIC FORECASTING

Application of Proxy Simulators in Groundwater Simulation Optimization: ANN and SVM proxy simulators for optimal pumping policy assessment