Essays about: "stock price forecasting"
Showing result 1 - 5 of 34 essays containing the words stock price forecasting.
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1. On Predicting Price Volatility from Limit Order Books
University essay from Uppsala universitet/Matematiska institutionenAbstract : Accurate forecasting of stock price movements is crucial for optimizing trade execution and mitigating risk in automated trading environments, especially when leveraging Limit Order Book (LOB) data. However, developing predictive models from LOB data presents substantial challenges due to its inherent complexities and high-frequency nature. READ MORE
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2. A Markovian Approach to Financial Market Forecasting
University essay from KTH/Matematisk statistikAbstract : This thesis aims to investigate the feasibility of using a Markovian approach toforecast short-term stock market movements. To assist traders in making soundtrading decisions, this study proposes a Markovian model using a selection ofthe latest closing prices. READ MORE
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3. In the Core of the Storm: Revisiting Inflation Hedging Properties Within and Across Asset Classes
University essay from Handelshögskolan i Stockholm/Institutionen för finansiell ekonomiAbstract : The recent surge in inflation has reignited discussions on hedging inflation risks, forming the focal point of this study. In our paper we consider conventional asset classes from 1968 to 2023 as well as alternative assets from 2020 to 2023 and find that no asset class provides a statistically significant hedge against core inflation shocks, while commodities and currencies can hedge headline and energy inflation risk. READ MORE
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4. An Evaluation of Leading Indicators in the Context of a Swedish Recession
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : The aim of this paper is to evaluate potential leading indicators of a recession in Sweden. To answer the question potential leading indicators are first identified with previous findings in literature and with the current state of the Swedish financial system as background. READ MORE
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5. Machine Learning Based Stock Price Prediction by Integrating ARIMA model and Sentiment Analysis with Insights from News and Information
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: Predicting stock prices in today’s complex financial landscape is asignificant challenge. An innovative approach to address this challenge is integrating sentiment analysis techniques with the well-established Autoregressive IntegratedMoving Average (ARIMA) model. READ MORE