Sökning: "hhs prediction"

Visar resultat 1 - 5 av 96 uppsatser innehållade orden hhs prediction.

1. 1. Network Connectedness in Financial Markets

   D-uppsats, Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

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

   Sammanfattning : 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. LÄS MER

3. 2. Something's in the Air: Exploring Wind Power Investment Incentives in Sweden

   D-uppsats, Handelshögskolan i Stockholm/Institutionen för nationalekonomi

   Författare :Herman Rogefors; William Karlsson; [2023]
   Nyckelord :Wind Power; Merit Order Effect; Swedish Electricity Market; Firm Profitability; Investments;

   Sammanfattning : Swedish wind power generation levels have shifted materially over the last decade, nearly accounting for 20% of the total electricity supply by the end of 2021. Along with rapid infrastructure development, industry ownership structures have changed, and foreign equity in wind power is estimated to increase from 36% in 2016 to 66% in 2024. LÄS MER

4. 3. Can Machine Be a Good Stock Picker?: Bridging the Gap between Fundamental Data and Machine Learning

   D-uppsats, Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

   Författare :Tomoya Narita; Povilas Stankevicius; [2023]
   Nyckelord :Machine Learning; XGBoost; Relative Valuation; Convergence Trade;

   Sammanfattning : We investigate the efficacy of historical accounting data and consensus forecasts for relative valuation of stocks, employing tree-based machine learning methods. We run an XGBoost model for monthly cross-sections of financial and pricing data of US equities from 1984 to 2021. LÄS MER

5. 4. Predicting Nordic Takeover Targets: A Binary Logit Analysis

   C-uppsats, Handelshögskolan i Stockholm/Institutionen för redovisning och finansiering

   Författare :Joanna Danielson; Siri Ridderstråle; [2023]
   Nyckelord :binary logit model; prediction; Nordics; takeover; target;

   Sammanfattning : This thesis aims to investigate if certain firm characteristics increase the likelihood of a company being acquired and if these factors can successfully predict which firms become subjects to takeovers in the Nordic setting. We compare data on a sample of Nordic targets and non-targets between the years 2012 and 2021, and test hypotheses regarding firm and industry characteristics, as well as market sentiments through binary logit models. LÄS MER

7. 5. A Causal Analysis of Cat Bond Markets

   D-uppsats, Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

   Författare :Tim Matheis; [2023]
   Nyckelord :Cat bonds; Insurance-linked securities; Causal machine learning; Random forests;

   Sammanfattning : This work is a contribution to the causal analysis of the catastrophe bond market, which has generated high excess returns over the last two decades. Since these excess returns remain partially unexplainable and the interest in catastrophe bonds is increasing, the causal study of the factors affecting their premiums is of high relevance. LÄS MER