Sökning: "Predictability of Stock Returns"
Visar resultat 16 - 20 av 49 uppsatser innehållade orden Predictability of Stock Returns.
16. Feeling the Heat of Climate Change - How Sensitive Could It Be?
Kandidat-uppsats,Sammanfattning : This thesis examines if climate sensitivity predicts stock returns and how well this measurement performs. The sample consists of the S&P 500 and the monthly stock return for the period between 1979 to 2019. The method is first to estimate the climate sensitivity for stock returns from temperature anomaly. LÄS MER
17. Industry Anomalies: An examination of asset pricing anomalies through an industry-specific framework
D-uppsats, Handelshögskolan i Stockholm/Institutionen för finansiell ekonomiSammanfattning : The finance literature has discovered a large number of anomalies in the cross-section of stock returns over the past three decades. This thesis examines whether some of the most robust anomalies also appear within industries, and whether some are more prominent than others within specific industry sectors. LÄS MER
18. The predictive power of stock style: size, value-growth orientation and the shape of the future return distribution
D-uppsats, Handelshögskolan i Stockholm/Institutionen för finansiell ekonomiSammanfattning : While there has been extensive research trying to explain the variability in the cross-section of expected stock returns, the predictability of other shape characteristics of the future return distribution is a less studied subject. This thesis investigates the relationship between the size and value-growth orientation of stocks (as measured according to Morningstar) and the shape parameters of their future returns. LÄS MER
19. Can IPO first day returns be predicted? A multiple linear regression analysis
Kandidat-uppsats, KTH/Matematisk statistikSammanfattning : During the last three years the Swedish stock market has showed a strong upwards movement from the lows of 2016. At the same time the IPO activity has been large and a lot of the offerings have had a positive return during the first day of trading in the market. LÄS MER
20. Forecasting High Yield Corporate Bond Industry Excess Return
Master-uppsats, KTH/Matematisk statistikSammanfattning : In this thesis, we apply unsupervised and supervised statistical learning methods on the high-yield corporate bond market with the goal of predicting its future excess return. We analyse the excess return of industry based indices of high-yield corporate bonds belonging to the Chemical, Metals, Paper, Building Materials, Packaging, Telecom, and Electric Utility industry. LÄS MER