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Performance of oversold stocks at the Helsinki Stock Exchange
(2019)
The aim of this thesis is to find out whether abnormal returns can be gained within the stock market short-term, by categorizing the stocks to oversold/overbought conditions with a Relative strength index (RSI) and taking ...
Datan ja analytiikan hyödyntämisen vaikutus työntekijän suorituskykyyn
(2019)
Data-analytiikan hyödyntäminen, eli yhtiön keräämän datan jalostaminen päätöksenteon tueksi on noussut organisaatioiden tärkeäksi kilpailuedun lähteeksi. Analytiikan hyödyntämistä onkin siis syytä tutkia sen ajankohtaisuuden ...
Digital signature: adoption, technology, costs & benefits
(2019)
Nowadays in our globalized world business partners can be on the opposite sides of the globe. Through the development of technology, the location is losing its importance as working remotely becomes increasingly popular. ...
Consumer Big data and the influence of General Data Protection Regulation
(2018)
The objective of this thesis is to examine consumer behaviour through decision-making process and understand what kind of consumer big data it generates. Moreover, the thesis aims to seek understanding how the new general ...
Insurance claim risk scoring with machine learning algorithms: A case study on developing a predictive system for assessing corporate customers' claim risk
(2018)
Predictive learning algorithms offer tools to automate and improve insurance risk management. The aim of this thesis is to study classification algorithms in risk scoring applications and to evaluate them in the creation ...
Situation status between descriptive and predictive analytics in decision making
(2018)
Statistical mathematics has received new hype words, like machine learning, advanced analytics and predictive analytics. Descriptive analytics has decades been in help and support of decision making in business environment. ...
Aligning business strategy with business analytics to create value for the firm
(2019)
The purpose of this qualitative study was to determine how contemporary companies can align their business analytics (strategy) with their business strategy to create value and what kinds of aspects need to be considered ...
Digitalizing the founding process of a limited liability company by using distributed ledger technologies : a case study of the Project Mercury and its profitability analysis
(2019)
The main objective of this case study is to illustrate how a limited liability company could be founded fully digitally based on Corda- and Hyperledger Indy-distributed ledger technologies (DLTs). The second objective of ...
Anti-money laundering and customer due diligence in Finnish banking system : current situation and future improvements
(2019)
Recently media and banks have been paying attention to money laundering. There has been evidence that some banks dealing to anti-money laundering has not been under good corporate governance, and often this has been the ...
Pricing financial call options with a multilayer perceptron class of artificial neural network : case: S&P 500 index options in 2017-2019
(2019)
The objective of this Master’s thesis is to examine if a Multilayer Perceptron class of artificial neural network can be applied to estimate European call option prices on the S&P 500 index in 2017 to 2019. The estimations ...