Essays about: "forecast evaluation"
Showing result 1 - 5 of 107 essays containing the words forecast evaluation.
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1. Forecasting Volatility of Ether- An empirical evaluation of volatility models and their capacity to forecast one-day-ahead volatility of Ether
University essay from Göteborgs universitet/Graduate SchoolAbstract : This study evaluates the performance of volatility models in forecasting one-day-ahead volatility of the cryptocurrency Ether. The selected models are: GARCH, EGARCH, GJR-GARCH, SMA9, SMA20, and EWMA. We investigate both in-sample performance and out-of-sample performance. READ MORE
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2. Sales forecasting for supply chain using Artificial Intelligence
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Supply chain management and logistics are two sectors currently experiencing a transformation thanks to the advent of AI(Artificial Intelligence) technologies. Leveraging predictive analytics powered by AI presents businesses with novel opportunities to streamline their operations effectively. READ MORE
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3. Sentiment-Driven Cryptocurrency Price Prediction : A Comparative Analysis of AI Models
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: In the last few years, there has been rapid growth in the use of cryptocurrency, as it is a form of digital currency and was developed using blockchain technology, so it is almost impossible to counterfeit cryptocurrency. Due to these features, it has attracted a lot of popularity and attention in the market. READ MORE
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4. Dataset characteristics effect on time series forecasting : comparison of statistical and deep learning models
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Time series are points of data measured throughout time in equally spaced periods. They present characteristics such as level, noise, trend, seasonality, and outliers. Time series forecasting is the attempt to predict single or multiple future values. READ MORE
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5. CryptoCurrency Time Series analysis : Comparative analysis between LSTM and BART Algorithm
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: Cryptocurrency is an innovative digital or virtual form of money thatuses cryptographic techniques for secured financial transactions within a decentralized structure. Due to its high volatility and susceptibility to external factors, itis difficult to understand its behavior which makes accurate predictions challengingfor the investors who are trying to forecast price changes and make profitable investments. READ MORE