In an efficient market, technical analysis cannot earn abnormal returns. Technical strategies are inferior to a buy and hold strategy since they typically churn investor accounts. Nonetheless, technical analysis appears to thrive. The purpose of this paper is to explain why technical analysis...

Magistro baigiamajame darbe suformuluotos akcijų portfelio formavimo ir valdymo problemos, išanalizuoti fundamentalios ir techninės analizės metodų taikymo principai, susisteminti įvairių Lietuvos ir užsienio autorių teoriniai ir praktiniai vertybinių popierių portfelio valdymo...

In an efficient market, technical analysis cannot earn abnormal returns. Technical strategies are inferior to a buy and hold strategy since they typically churn investor accounts. Nonetheless, technical analysis appears to thrive. The purpose of this paper is to explain why technical analysis...

Swingtum stands for Swing and Momentum. A Swingtum Theory of Intelligent Finance is presented here in order to provide a scientific and engineering foundation to professional swing trading and momentum trading. The origins of Swingtum theory naturally go deep into the empirical professional...

Baigiamajame magistro darbe nustatomos modernios ir postmodernios portfelio teorijos ypatybės, investicijų portfelio sudarymo ir valdymo teorijos. Sudarant portfelį, akcijų atrankai yra naudojama fundamentalioji ir koreliacinė analizė. Išanalizuoti Skandinavijos šalių: Danijos, Suomijos...

This paper studies the training of support vector machine (SVM) classifiers with respect to the minimax and Neyman-Pearson criteria. In principle, these criteria can be optimized in a straightforward way using a cost-sensitive SVM. In practice, however, because these criteria require especially...

In this paper, we present an analysis of the results of a study into wholesale (spot) electricity price forecasting utilising Neural Networks (NNs) and Support Vector Machines (SVM). Frequent regulatory changes in electricity markets and the quickly evolving market participant pricing (bidding)...

Diese Arbeit untersucht die Anwendung von Support Vektor Machines (SVMs) zur Vorhersage der Insolvenz von deutschen Unternehmen. Die Vorhersage basiert auf 24 finanziellen Kennzahlen, die in vier Kategorien unterteilt sind: Profitabilität, Fremdfinanzierung, Liquidität und Aktivität. SVMs...

This thesis presents and compares the performance of two recently developed classification methods namely the Spatial Stagewise Aggregation procedure and Support Vector Machines. Both techniques are convenient for the application to corporate bankruptcy analysis, in terms of calculation of...

In this study, a new discriminative learning framework, called soft margin estimation (SME), is proposed for estimating the parameters of continuous density hidden Markov models (HMMs). The proposed method makes direct use of the successful ideas of margin in support vector machines to improve...