This thesis is on an advanced method for pricing financial derivatives in a market model,which comprises two stochastic volatilities. Financial derivatives are instruments whosethat is related to any financial asset. Underlying assets in derivatives are mostly financialinstruments; such as security, currency or a commodity. Stochastic volatilities are used infinancial mathematics to assess financial derivative securities; such as contingent claims andoptions for valuation of the derivatives, at the expiration of the contract. This study examinedtheoretical frameworks that evolve around the pricing of financial deriv- atives in a marketmodel and it mainly examines two stochastic volatilities: cubature formula and splittingmethod by analysing how these volatilities affect the pricing of financial derivatives. The studydeveloped an approximation approach with a double stochastic volatilities model in termsof Stratonovich integrals to evaluate the contingent claim, examined the similarities betweenNinomiya–Ninomiya scheme and Ninomiya–Victoir scheme, and rewrite the system of doublestochastic volatility model in terms of the standard Brownian motion.

The global financial crisis that started in the USA affected several countries around the world. This study focuses on only three countries; the USA, Sweden, and Italy, which are examples of economies with three different labor market models. The purpose of this study is to investigate if and in that case how Okun's law was affected by the global financial crisis in the three countries’ labor market models and if there are any differences in the correlations before and after the global financial crisis. Okun’s difference version was used in this study. Quarterly time series data was used in this study during the time period 1985-2019. The Chow test was used to test the hypothesis. The results show that the global financial crisis affected Okun’s law after the crisis in all three countries. The USA, Sweden, and Italy were affected differently

This thesis studies interest rates (even negative), interest rate derivatives and term structure of interest rates. We review the different types of interest rates and go through the evaluation of a derivative using risk-neutral and forward-neutral methods. Moreover, the construction of interest rate models (term-structure models), pricing of bonds and interest rate derivatives, using both equilibrium and no-arbitrage approaches are discussed, compared and contrasted. Further, we look at the HJM framework and the LMM model to evaluate and simulate forward curves and find the forward rates as the discount factors. Finally, the new framework (after financial crisis in 2008), under the collateral agreement (CSA) has been taken into consideration.

Diss. (sammanfattning) Stockholm : Handelshögskolan, 2008 Sammanfattning jämte 3 uppsatser

Title: Stochastic interest rates modeling Author: Jakub Černý Abstract: This present work studies different stochastic models of interest rates. Theoretical part of this work describes short-rate models, HJM fra- mework and LIBOR Market model. It focuses in detail on widely known short-rate models, i.e. Vašíček, Hull-White and Ho-Lee model, and on LI- BOR Market model. This part ends by valuation of interest rate options and model calibration to real data. Analytical part of the work analyses valuation of real non-standard interest rate derivative using different models. Part of this derivative valuation is comparison among models in terms of general valuation and also in terms of capturing the dynamics of interest rates. The aim of this work is to describe different stochastic models of interest rates and mainly to compare them with each other.

The correct model of a liquid financial market is one of the most important matter for a management of all financial market activities including for example a stock or bond porfolio management or an asset pricing. Clear random walk models, which consider a market price/yield development on liquid financial markets to be a random walk within the meaning of a symmetric normal (gaussian) distribution, is very useful to explain quite accurately many financial market effects. If we study financial markets more closely, we recognize that such development can be partly causal and a clear random walk is only a special case of it. Dynamic Financial Market Model considers feedback processes on financial markets which cause an dependence in a probability of next price/yield step direction and also expects mix of random processes as a final result. Both effects cause not gaussian (normal) observations in probability distributions of finacial instruments and this is why the model is also able to explain for example effects like thin or fat tails and other deformations in the probability distribution. S&P500 index or Euro Bund futures probability distribution on daily basis are good examples of the diversion from normality.

<p>We have examined the stock development of acquired listed Swedish companies - from the years 1995 to 2005 - upon the official publication of the bid. Thereafter we further investigated if there is a difference in the stock development between companies that are acquired by foreign investorscompared to Swedish investors. Also, a difference in the stock development could be due to the acquired firms’ industry classification and its company size, which we have been looking at.</p><p>In order to study the bid news impact on the share price, a quantitative study in the form of an event study has been done, where the abnormal return associated with the news has been measured.</p><p>The research shows that there indeed is a difference between companies acquired by foreign investors versus Swedish. As for industry classification, we find one out of six different industries standing out. The comparisons within the remaining industries shows similar results to the comparison of Swedish and foreign companies we mentioned before. In terms of company size,larger companies have shown a lower cumulative abnormal return compared to smaller companies. Furthermore the research also shows that larger the acquired companies are smaller the difference is in the cumulative abnormal return.</p> / <p>Vi har undersökt aktieutvecklingen hos uppköpta börsnoterade svenska företag, mellan 1995 till 2005, vid offentliggörandet av budet. Därefter undersöker vi även om det finns en skillnad i aktieutvecklingen mellan företag som blir uppköpta av utländska aktörer jämfört med de som blir uppköpta av svenska. Vidare skulle en visad skillnad i aktieutvecklingen kunna bero på de uppköpta företagens branschtillhörighet respektive företagens storlek, vilket vi har tittar närmare på.För att studera budnyhetens inverkan på börskursen har en kvantitativ undersökning i form av en event studie gjorts, där den abnormala avkastningen i samband med budnyheten mätts.Resultatet visar att det finns en skillnad mellan företag som blivit uppköpta av utländska aktörer och svenska. Vad gäller branschindelningen finner vi en bransch som utmärker sig gentemot de andra. Resterande branscher sammanfaller med jämförelsen av svenska och utländska företag. Storleksmässigt visade större företag allmänt en lägre kumulativ avkastning än mindre. Vidare är skillnaden mindre, mellan företag köpta av svenska aktörer och utländska, ju större företagen är.</p>

We have examined the stock development of acquired listed Swedish companies - from the years 1995 to 2005 - upon the official publication of the bid. Thereafter we further investigated if there is a difference in the stock development between companies that are acquired by foreign investorscompared to Swedish investors. Also, a difference in the stock development could be due to the acquired firms’ industry classification and its company size, which we have been looking at. In order to study the bid news impact on the share price, a quantitative study in the form of an event study has been done, where the abnormal return associated with the news has been measured. The research shows that there indeed is a difference between companies acquired by foreign investors versus Swedish. As for industry classification, we find one out of six different industries standing out. The comparisons within the remaining industries shows similar results to the comparison of Swedish and foreign companies we mentioned before. In terms of company size,larger companies have shown a lower cumulative abnormal return compared to smaller companies. Furthermore the research also shows that larger the acquired companies are smaller the difference is in the cumulative abnormal return. / Vi har undersökt aktieutvecklingen hos uppköpta börsnoterade svenska företag, mellan 1995 till 2005, vid offentliggörandet av budet. Därefter undersöker vi även om det finns en skillnad i aktieutvecklingen mellan företag som blir uppköpta av utländska aktörer jämfört med de som blir uppköpta av svenska. Vidare skulle en visad skillnad i aktieutvecklingen kunna bero på de uppköpta företagens branschtillhörighet respektive företagens storlek, vilket vi har tittar närmare på.För att studera budnyhetens inverkan på börskursen har en kvantitativ undersökning i form av en event studie gjorts, där den abnormala avkastningen i samband med budnyheten mätts.Resultatet visar att det finns en skillnad mellan företag som blivit uppköpta av utländska aktörer och svenska. Vad gäller branschindelningen finner vi en bransch som utmärker sig gentemot de andra. Resterande branscher sammanfaller med jämförelsen av svenska och utländska företag. Storleksmässigt visade större företag allmänt en lägre kumulativ avkastning än mindre. Vidare är skillnaden mindre, mellan företag köpta av svenska aktörer och utländska, ju större företagen är.

This thesis examines the impact of company announcements on the daily stock returns of lowly capitalised companies. A total of 105 companies comprise the sample and 1464 events are examined over the period 21110/97 to 03/0412000. The methodology employed is primarily, empirical in nature. Event studies are conducted to gauge the impact of company announcements on stock returns using the single index market model (SIMM) as the chosen equilibrium market model for modelling abnormal returns. The study professes three mam contributions to knowledge. The empirical evidence suggests that financial announcement have a more timely impact on stock returns than non-financial announcements. Secondly, there appears to be significant over-reaction and mean-reversion exhibited by lowly capitalised firms. Thirdly, the speed of adjustment of stock prices to new information is increased in cases where shareholder concentration is high while over-reactions appear inversely proportionate to shareholder concentration. This may be a consequence of smaller firms experiencing leakage of boardroom level information prior to public announcement days.

Background: Mergers and acquisitions (M&amp;A’s) are common ways for businesses to expand, compete, and maintain in competitive business environments. A strongly debated question in literature is whether or not these M&amp;A’s provide measurable benefits, as factors such as industry, geographic location, and regulations play key roles in the impacts of the M&amp;A’s. In this paper, we investigate the short-term effects of M&amp;A’s based on stock returns of acquiring companies, with a focus on finance industries in the British Isles. Purpose: The purpose is to study whether or not there are significant short-term abnormal returns for acquiring companies when M&amp;As of financial services target enterprises take place. Further, the study examines factors which can affect the impact of M&amp;A’s, such as size of transaction, whether it is domestic or cross-border, whether or not the acquiring company is in a finance industry, and whether there is evidence of merger waves related to finance M&amp;A’s in the British Isles. Method: An event study methodology is applied and focused on calculating the cumulative abnormal returns, as well as verifying whether those are statistically significant. The study analyses 100 M&amp;A’s conducted on target companies from the UK and Ireland between the years 2000 and 2019. The event study is performed using the STATA statistical software, which is used to analyse the stock return performance in comparison to the domestic market index for each acquiring company. Conclusion: The study finds statistically insignificant results, concluding that M&amp;A events do not generate significant abnormal returns for acquiring companies. This is in line with majority of previous research done, showing that M&amp;A deals are not deemed significantly value creating nor value destroying. M&amp;A’s within finance industry where the acquiring companies were domestic, in a finance industry, where the deals were smaller, were all shown to have less negative, albeit still insignificant results. This study also presents evidence for merger waves. Moreover, this thesis adds a clear geographic and industry component which is often missing in previous research, showing that within finance industry in the British Isles the impacts of M&amp;A deals are unlikely to be statistically significant in causing abnormal returns.