Essays about: "analys av tidsserier"

Showing result 6 - 10 of 36 essays containing the words analys av tidsserier.

  1. 6. Time Dependencies Between Equity Options Implied Volatility Surfaces and Stock Loans, A Forecast Analysis with Recurrent Neural Networks and Multivariate Time Series

    University essay from KTH/Matematik (Avd.)

    Author : Simon Wahlberg; [2022]
    Keywords : RNN; LSTM; GRU; vector autoregression; implied volatility surface; stock loan; equity options; multivariate time-series analysis; financial mathematics.; Rekursiva neurala nätverk; LSTM; GRU; VAR; implicerade volatilitetsytor; aktielån; aktieoptioner; multidimensionell tidsserieanalys; finansiell matematik.;

    Abstract : Synthetic short positions constructed by equity options and stock loan short sells are linked by arbitrage. This thesis analyses the link by considering the implied volatility surface (IVS) at 80%, 100%, and 120% moneyness, and stock loan variables such as benchmark rate (rt), utilization, short interest, and transaction trends to inspect time-dependent structures between the two assets. READ MORE

  3. 7. SUSTAINABLE INVESTMENTS IMPACT ON FINANCIAL PERFORMANCE : A Panel Data Analysis of the Relationship Between ESG Factors and Financial Performance

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Filip Forsgren; Marcus Öström; [2022]
    Keywords : Sustainable Investments; ESG Score; Financial Performance; Panel Data Analysis; Panel Regression; Hållbara investeringar; ESG score; Finansiell prestanda; Panel data analys; Panel regression;

    Abstract : Sustainability is a broad concept where sustainability factors have become more fundamental during the recent years. However, the importance of these factors has not been as central when explaining stock returns. Thus, we perform this study with the aim to investigate the relationship between sustainability factors and financial performance. READ MORE

  4. 8. On Modelling Ancillary Services Markets: A Time Series Approach

    University essay from KTH/Matematik (Avd.)

    Author : Erik Murray; [2022]
    Keywords : ARIMA; SARIMA; GARCH; load balancing; ancillary services; electrical grids; FCR-D; ARIMA; SARIMA; GARCH; lastbalans; stödtjänster; kraftnät; FCR-D 2;

    Abstract : So-called ancillary services (AS) have always been critically important for the functioning of an electrical grid, and are becoming even more so with the advent of renewable energy sources. Ancillary services are traded on open markets, and trading on these markets is arguably even more difficult to model than on traditional markets. READ MORE

  5. 9. Follow the Money : Determinants of Cap Rates in the Stockholm Office Market

    University essay from KTH/Fastighetsföretagande och finansiella system

    Author : Henrik Saxton; [2022]
    Keywords : Real estate economics; macroeconomy; capitalization rate determinants; foreign investments; unconventional monetary policy; econometrics; dynamic ordinary least squares DOLS regression analysis; Fastighetsekonomi; makroekonomi; bestämningsfaktorer för direktavkastningskrav; utländska investeringar; okonventionell penningpolitik; dynamisk vanliga minstakvadratmetoden DOLS regressionsanalys;

    Abstract : Purpose – In recent decades the inflation- and interest rates have followed a long-termdeclining trend. Followed by central banks starting to use unconventional monetary policiesto cope with financial crises have led to increased amounts of liquidity in the financialsystems and available and looking for investment alternatives on the capital markets. READ MORE

  6. 10. Banger for the Buck : Predicting Growth of Music Tracks using Machine Learning

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Elliot Nilsson; Liza Wensink; [2022]
    Keywords : Time series classification; Multivariate time series; Music industry; Record label business model.;

    Abstract : The advent of music streaming has made it increasingly important for actors in the music industry to understand if tracks are going to succeed or not. This study investigates if it is possible to accurately classify the growth of the listener base of a music track based on multivariate time series with listener behavior data. READ MORE