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Price-Forecasting Models for NYSE AMEX COMPOSITE INDEX ^XAX Stock

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Price-Forecasting Models for NASDAQ Composite ^IXIC Stock

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Price-Forecasting Models for Amazon Inc AMZN Stock

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Price-Forecasting Models for Adobe Inc ADBE Stock

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Price-Forecasting Models for Eargo Inc EAR Stock

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Price-Forecasting Models for Kaixin Auto Holdings KXIN Stock

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Price-Forecasting Models for Kazia Therapeutics Ltd KZIA Stock

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Price-Forecasting Models for S&P 500 ^GSPC Stock

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Price-Forecasting Models for Echo Global Logistics, Inc. ECHO Stock

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Price-Forecasting Models for Dow Jones Industrial Average ^DJI Stock

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Price-Forecasting Models for The Procter & Gamble Company PG Stock

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Stock Market Forecasting Courses

This is an extensive course for the gann trader as well as the investor. W. D. Gann's Stock Trading Course can teach you a number;

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Value-at-risk forecasting with the ARMA-GARCH family of models

is performed on each stock index separately. Unlike other works in this field of study, this work does not assume the log-returns to be normally;

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Investments

In today's economy, it's critical for investors to have a strong understanding of the strategies needed to make the best decisions. Jones;

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Analytically Tractable Stochastic Stock Price Models

. In a stock price model with stochastic volatility, the random behavior of the volatility is described by a stochastic process. For instance;

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Forecasting Profits Using Price and Time

The first complete guide to mastering the forecasting techniques essential for short-term trading success While a majority of trading;

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Futures Trading and Spot Market Volatility

, stock futures, stock options were introduced from 2000 onwards.The Bombay Stock Exchange lunched derivatives trading in the form of Index;

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Stochastic Modeling of Stock Prices Incorporating Jump Diffusion and Shot Noise Models

(Forschungsgebiet Stochastik), course: Mathematik - Finanzmathematik, language: English, abstract: In this thesis, we present a stochastic model for stock;

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Going Public in the USA and the Valuation of IPOs

to give an overview of the going public procedure and the registration requirements for U.S. stock exchanges. Hereby, the paper just focuses;

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Putting Economics Theory into Practice

, in which different models, including the time series models and term structure models, are evaluated for forecasting of Hong Kong inflation rate;

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Backdating of Stock Options

the time the option is exercised (used to purchase stock). At the grant date for the options, rather than selecting an exercise price based on;

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Economic Forecasting

. This poses unique challenges for researchers in a host of practical forecasting situations, from forecasting budget deficits and assessing;

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Developing an Effective Model for Detecting Trade-Based Market Manipulation

Stock market manipulation is detrimental to traders and corporations, causes unnecessary price fluctuations, and only benefits financial;

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Modeling and Forecasting Primary Commodity Prices

accompanying price fluctuations not only for crude oil but also for the many other raw materials. Such trends mean that world commodity markets are;

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Modeling and Forecasting Primary Commodity Prices

accompanying price fluctuations not only for crude oil but also for the many other raw materials. Such trends mean that world commodity markets are;

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Machine Learning and AI in Finance

microstructure features. Other new AI developments explored in this book includes building a universal model for a large number of stocks, developing;

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Electricity Market Clearing Price Forecasting in a Deregulated Market

technique utilizing neural network approach. Forecasting of mid-term MCP is essential for decision making, scheduling and bidding strategy planning;

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