Institutional Repository
Technical University of Crete
EN  |  EL

Search

Browse

My Space

Technical analysis of the Nasdaq-100 index and financial analysis of its constituent companies

Ηaritos Dimitrios

Full record


URI: http://purl.tuc.gr/dl/dias/929B46BE-6988-4C6F-B5BF-FFEB3D9DEEE0
Year 2021
Type of Item Diploma Work
License
Details
Bibliographic Citation Dimitrios Ηaritos, "Technical analysis of the Nasdaq-100 index and financial analysis of its constituent companies", Diploma Work, School of Production Engineering and Management, Technical University of Crete, Chania, Greece, 2021 https://doi.org/10.26233/heallink.tuc.89981
Appears in Collections

Summary

The purpose of this thesis is to evaluate the Nasdaq-100 as an investment option and to provide the most reliable technical analysis indicators for this particular index.The Nasdaq-100 is a stock market index which consists of 103 equity securities issued by 100 of the largest publicly-traded companies in the United States that are listed on the Nasdaq stock market, excluding the financial sector. To evaluate the Nasdaq-100 as an investment option, a financial analysis was performed on twenty of the largest companies that this index features. During this analysis, the financial indicators for solvency, performance and performance-management were calculated from 2016 to 2019. The sub-total of these twenty companies constitutes almost 70% of the capital contained in this index. Therefore, the performance of these companies as an average should mirror the performance of the Nasdaq-100.Technical analysis indicators are mathematical calculations that aim to predict the future price movement of an asset by analyzing the past performance of its price or volume. A technical analysis was performed on the Nasdaq-100 from 2016 to 2019 in order to determine the most reliable technical indicators who can successfully predict future prices for this index. The calculated technical indicators were momentum oscillators and trend indicators. These indicators were calculated daily for the selected time period of the analysis, based on the daily price movement of the Nasdaq-100. In this thesis, the chosen indicators were assessed individually in daily, weekly and monthly periods. For every indicator and for each one of the three time periods, an investment in the Nasdaq-100 was simulated based on the BUY and SELL signals calculated by the indicators. Two different scenarios were examined; one with 0% commission per transaction and one with 1.5%. The results show the combinations of indicators and time periods that produce the best investment returns for each one of the two scenarios.

Available Files

Services

Statistics