Essays about: "volatility modelling"

Showing result 1 - 5 of 57 essays containing the words volatility modelling.

1. 1. Volatility Forecasting - A comparative study of different forecasting models.

   University essay from

   Author : Emil Sturesson; Anton Wennström; [2023-06-29]
   Keywords : Volatility; GARCH; EGARCH; t-GAS; HAR-RV; Realized GARCH; Volatility Forecasting; Volatility Modelling;

   Abstract : This study evaluates the out-of-sample forecasting performance of different volatility mod- els. When applied to XACT OMXS30, we use GARCH(1,1), EGARCH(1,1), and t- GAS(1,1) to forecast squared daily returns while Realized GARCH(1,1) and HAR-RV are used to forecast Realized Variance. READ MORE

3. 2. Stock market analysis with a Markovian approach: Properties and prediction of OMXS30

   University essay from KTH/Matematisk statistik

   Author : Max Aronsson; Anna Folkesson; [2023]
   Keywords : Markov chain; OMXS30; Markov chain properties; voting ensemble model; markovkedja; OMXS30; egenskaper hos markovkedjor; ensemble-modell;

   Abstract : This paper investigates how Markov chain modelling can be applied to the Swedish stock index OMXS30. The investigation is two-fold. Firstly, a Markov chain is based on index data from recent years, where properties such as transition matrix, stationary distribution and hitting time are studied. READ MORE

4. 3. Modelling Proxy Credit Cruves Using Recurrent Neural Networks

   University essay from KTH/Matematisk statistik

   Author : Lucas Fageräng; Hugo Thoursie; [2023]
   Keywords : Deep Neural Networks; Credit Risk; Financial Modelling; LSTM; Credit Default Swaps; Credit Valuation Adjustment; Djupa Neurala Nätverk; Kreditrisk; Finansiell Modellering; LSTM; Kreditswappar; Kreditvärderingsjustering;

   Abstract : Since the global financial crisis of 2008, regulatory bodies worldwide have implementedincreasingly stringent requirements for measuring and pricing default risk in financialderivatives. Counterparty Credit Risk (CCR) serves as the measure for default risk infinancial derivatives, and Credit Valuation Adjustment (CVA) is the pricing method used toincorporate this default risk into derivatives prices. READ MORE

5. 4. Volatility Modelling in the Swedish and US Fixed Income Market : A comparative study of GARCH, ARCH, E-GARCH and GJR-GARCH Models on Government Bonds

   University essay from Linköpings universitet/Nationalekonomi; Linköpings universitet/Filosofiska fakulteten

   Author : Sebastian Mortimore; William Sturehed; [2023]
   Keywords : GARCH; ARCH; GJR-GARCH; E-GARCH; ARMA; Government Bonds; Volatility; Loss functions; Fixed Income Market and realized volatility.; ARCH; GARCH; GJR-GARCH; E-GARCH; Statsobligationer och Volatilitet;

   Abstract : Volatility is an important variable in financial markets, risk management and making investment decisions. Different volatility models are beneficial tools to use when predicting future volatility. The purpose of this study is to compare the accuracy of various volatility models, including ARCH, GARCH and extensions of the GARCH framework. READ MORE

6. 5. Dynamic modelling of electricity arbitrage for single-family homes : Assessing the cost-effectiveness of implementing Energy Storage and Demand-Side Load Management.

   University essay from Linnéuniversitetet/Institutionen för byggd miljö och energiteknik (BET)

   Author : Ahmed Ali; [2023]
   Keywords : Electricity arbitrage trading; intraday electricity market; energy storage system; demand-side load management; single-family homes; Nord Pool; building performance simulation IDA Indoor Climate and Energy ; financial modelling.;

   Abstract : In the context of electricity, arbitrage trading involves taking advantage of existing price variations within electricity markets. The report conducted financial modelling for energy storage systems and demand-side load management for electricity arbitrage trading in single-family homes. READ MORE