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Performance of seasonally optimized hedge ratios for the Nordic electricity markets
(2022)
This thesis fills a gap in the literature on futures hedging by investigating the hedging performance of the bidding areas of the Nordic Power Exchange (Nord Pool). EPADs are futures with which it is possible to protect ...
Kassavirran ennustettavuus kirjanpitodatan avulla
(2022)
Kassavirta ja sen ennustaminen ovat tärkeässä roolissa yritysten talousraportoinnissa. Taloushallinnon digitalisoituminen ja digitalisten työkalujen kehittyminen ovat mahdollistaneet myös kirjanpitodatan hyödyntämisen ...
The performance of value investing strategy in Helsinki Stock Exchange from 2005 to 2021 : a clustering approach
(2022)
The purpose of this thesis is to study the possibility to combine quantitative clustering of stocks and value investing. The feasibility of the approach is tested using Finnish market data over the 2005-2021 period. The ...
Intelligent financial distress prediction : recent contributions and their response to the problems of classic prediction methodologies
(2021)
This thesis examines current trends in the intelligent financial distress prediction field, and how recently published studies respond to the problems in classic financial distress prediction methodologies. Financial ...
Real estate insurance claims prediction with machine learning algorithms
(2022)
Nowadays insurance companies are increasingly implementing machine learning algorithms in their business routine. An ability to determine beforehand an emergence of claims could offer a tool to increase a profitability of ...
The role of agile approach in ERP implementations
(2020)
Traditionally, ERP implementations have been delivered using the waterfall implementation methodology, but the downside of the waterfall projects is that value from the project can be realized years later the requirements ...
Utilization of personalization in marketing automation and email marketing
(2020)
The utilization of personalization in marketing automation and email marketing is yet to be studied meticulously. The purpose of the paper is to build on existing literature and examine on how marketers practice the ...
Applying machine learning in predicting gross domestic savings : the case of Finland
(2020)
The main objective of this quantitative study is to predict gross domestic savings in Finland with the help of machine learning algorithms. Machine learning-based models and the traditional time-series model were assessed ...
Pairs trading revisited : the case of OMX Helsinki
(2020)
This thesis examines pairs trading opportunities in OMX Helsinki Stock Exchange. Pairs trading is a self-financing trading strategy, where trader enters a long position and offsetting short position simultaneously in two ...
Pairs trading : an application of pairs selection and outranking in Norwegian stock market
(2020)
Statistical arbitrage is a known research topic with a wide body of research with various methodologies to apply. Pairs trading is a part of statistical arbitrage research, where the purpose is to identify co-moving assets ...