Essays about: "Volatility Prediction"

Showing result 1 - 5 of 65 essays containing the words Volatility Prediction.

1. 1. Network Connectedness in Financial Markets

   University essay from Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

   Author : Andrea Marcolini; [2024]
   Keywords : Systemic risk modeling; US REITs connectedness; S P 500 connectedness; Returns and realized volatilities prediction;

   Abstract : This paper is a collection of two different theses discussing the prediction of the returns and volatilities of the S&P 500 constituents and of US Real Estate Investment Trusts (REITs) by analyzing their centrality within the financial market network. Both empirical works summarize the relevant financial and network literature, demonstrating how modeling stock connectedness within financial markets makes it possible to create returns and volatility predictors, improving investors' portfolio allocations and achieved investment Sharpe ratios. READ MORE

3. 2. Exploring the Idiosyncratic Volatility Anomaly in the Swedish Stock Market: An Empirical Analysis of its Impact on Returns

   University essay from Göteborgs universitet/Graduate School

   Author : Anton Ahlqvist; Walter Uong; [2023-06-29]
   Keywords : ;

   Abstract : We examine the cross-sectional relationship between idiosyncratic volatility relative to the Fama-French three factor model and expected stock returns. We find that portfolios containing the firms with the lowest idiosyncratic risk offers excess returns in relation to the prediction of the Fama-French three factor model, while those with the highest idiosyncratic risk do not. READ MORE

4. 3. Stock market analysis with a Markovian approach: Properties and prediction of OMXS30

   University essay from KTH/Matematisk statistik

   Author : Max Aronsson; Anna Folkesson; [2023]
   Keywords : Markov chain; OMXS30; Markov chain properties; voting ensemble model; markovkedja; OMXS30; egenskaper hos markovkedjor; ensemble-modell;

   Abstract : This paper investigates how Markov chain modelling can be applied to the Swedish stock index OMXS30. The investigation is two-fold. Firstly, a Markov chain is based on index data from recent years, where properties such as transition matrix, stationary distribution and hitting time are studied. READ MORE

5. 4. CryptoCurrency Time Series analysis : Comparative analysis between LSTM and BART Algorithm

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Lakshmi Vyshnavi Nerella; Chiranjeevi Ponnada; [2023]
   Keywords : ;

   Abstract : 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

6. 5. A Mixed Time-Series & Machine Learning Approach for Price Forecasting in the Swedish Ancillary Market

   University essay from Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionen

   Author : Daniel Arredondo; [2023]
   Keywords : Hybrid model; Volatility model; Machine learning model; Price spike prediction; Energy trading; Time series forecasting; Ancillary service market; Business and Economics;

   Abstract : This study aims to forecast the Swedish FCR-D Down A2 market prices through a hybrid model combining a volatility model and a machine learning approach, and compares its performance with a standalone machine learning model. We further examine the impact of different lag orders (1-Hr vs. 24-Hr) on volatility estimates and forecast performance. READ MORE