Essays about: "Financial mathematics"

Showing result 6 - 10 of 162 essays containing the words Financial mathematics.

  1. 6. Evaluating the Effect of Meta-Labeling on Equity Market Neutral Strategy

    University essay from Lunds universitet/Statistiska institutionen

    Author : Niclas Wölner-Hanssen; [2023]
    Keywords : Meta-Labeling; Probabilistic Sharpe Ratio; Equity Market Neutral; Mathematics and Statistics;

    Abstract : This thesis aims to construct an Equity Market Neutral (EMN) strategy framework to predict intraday excess returns of stocks within the S&P 500 index by utilizing machine learning techniques proposed by (López de Prado, 2018). The constructed EMN strategies within the framework utilizes techniques such as Stacked Single Feature Importance (SSFI), sample weighting, Probabilistic Sharpe Ratio (PSR), and meta-labeling. READ MORE

  3. 7. Risk Management and Sustainability - A Study of Risk and Return in Portfolios With Different Levels of Sustainability

    University essay from KTH/Matematik (Avd.)

    Author : Magnus Borg; Lucas Ternqvist; [2023]
    Keywords : ESG; Value-at-Risk VaR ; Expected Shortfall ES ; Risk Management; Financial Risk; Financial Mathematics; Sustainability; Portfolio Management; Capital Asset Pricing Model CAPM ; Hållbarhet; Value-at-Risk VaR ; Expected Shortfall ES ; Riskhantering; Finansiell Risk; Finansiell Matematik; Portföljkonstruktion;

    Abstract : This thesis examines the risk profile of Electronically Traded Funds and the dependence of the ESG rating on risk. 527 ETFs with exposure globally were analyzed. Risk measures considered were Value-at-Risk and Expected Shortfall, while some other metrics of risk was used, such as the volatility, maximum drawdown, tail dependece, and copulas. READ MORE

  4. 8. The Predictive Power of Implied Volatility in Option Pricing

    University essay from KTH/Matematisk statistik

    Author : Lovisa Berglund; [2023]
    Keywords : Option Pricing; Black-Scholes; Finance; Implied Volatility; Applied Mathematics; Machine Learning; Optionsprissättning; Black-Scholes; Finans; Implicit Volatilitet; Tillämpad Matematik; Maskininlärning;

    Abstract : During the last few years, financial derivatives have been growing in trading volume. There seem to be a high demand and supply of derivatives on the market and one common derivative is the option contract. The option contract is frequently the subject of studies and many different pricing models have been created for options. READ MORE

  5. 9. An Artificial Neural Network Approach to Algorithmic Trading

    University essay from Lunds universitet/Matematisk statistik

    Author : Timmie Bengtsson; [2023]
    Keywords : Financial Markets; Machine Learning; Long Short-Term Memory; Gated Recurrent Unit; Recurrent Neural Networks; Time Series Analysis; Algorithmic Trading; Mathematics and Statistics;

    Abstract : The field of machine learning has advanced significantly in recent decades, and, at the same time, computational power has improved to the point where training large machine learning models, such as artificial neural networks, is now accessible. Consequently, there has been a rise in the use of these models within the financial sector, with some firms leveraging them to assist with investment decisions. READ MORE

  6. 10. Optimal Portfolio Re-Balancing on Fixed Periods using a Cost/Risk Adaptation Model and Stochastic Optimization.

    University essay from Linköpings universitet/Produktionsekonomi

    Author : Max Ehn; Marcus Jämte; [2023]
    Keywords : Optimal portfolio re-balancing; optimal liquidation; minimize transaction costs; trading-volume estimation; stochastic optimization; Financial mathematics; tracking error; execution strategies; opportunity costs; liquidation costs; applied mathematics; PRIIP regulation; Swing-pricing;

    Abstract : In this thesis we investigate the problem of portfolio re-balancing for fixed periods using a cost/risk adaptation model and stochastic optimization. The cost/risk adaptation model takes theory of optimal liquidity costs and risk preference to build a universe in which we try to find better strategies than conventional ones. READ MORE