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Price-Forecasting Models for NASDAQ Composite ^IXIC Stock

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Price-Forecasting Models for NYSE AMEX COMPOSITE INDEX ^XAX 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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Value-at-risk forecasting with the ARMA-GARCH family of models

six world stock indices - DJI, GSPC, IXIC, FTSE, GDAXI and N225. The models model mean using the AR and MA processes with up to two lags and;

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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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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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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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Stock Market Crashes

with Democratic Presidents. Marty Zweig was a wall street legend while he was alive. We discuss his methods for stock market predictability;

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Volatility and Price Discovery in Stock Markets

-term volatility accentuation in five equity markets: the Nasdaq Stock Market and the New York Stock Exchange in the US, and the London Stock;

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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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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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Exchange Rates in South America's Emerging Markets

tried to find a forecasting methodology that could beat the random walk, at least for certain forecasting periods. This Element compares the;

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Crop Yield Forecasting Using Discriminant Function Analysis

, minimum temperature, rainfall and morning relative humidity. Discriminant function technique has been used for developing the forecast models;

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