The purpose of this thesis was to analyze selected sectors of the stock exchange through methods of technical and fundamental analysis and to find the most appropriate investment strategy based on the results. At first were subjected to corell and runs tests. These tests should have proven or disproven the existence of weak form of efficiency. In the fundamental analysis was chosen the method of comparation of alpha coefficient and average monthly revenues. The technical analysis tested of moving averages and monitoring the signals using oscillators. The last step was a comparison of investment methods and strategies, found investment strategy and made a investment porfolio.

The aim of this thesis is to explore the adaptability of the Evidential Reasoning (ER) Rule as a method to provide a useful supporting tool for helping investors make decisions on financial investments. Decision making in financial investment often involves conflicting information and subjective judgment of the investors. Accordingly, the ER Rule, extended from the original popular Evidential Reasoning algorithm and developed for MCDM (Multiple Criteria Decision Making), is particularly suited for handling conflicts in information and to allow for judgmental weighting on the sources of evidence. In order to do so, a specific EIA (Efficient Information Assessment) process modeled by the mass function of Dempster-Shafer Theory has been constructed such that the underlying architecture of the model satisfies the requirement of the ER rule. The fundamental concern is to define and assess “efficient information”. For this purpose, a process denoted the Efficient Information Assessment (EIA) is defined which applies the mass function of Dempster-Shafer theory. Any relevant information selected from an expert’s knowledge database is “efficient” if the data is fully in compliance with the requirement of the ER rule. The logical process of the EIA model proceeds with a set of portfolio strategies from the information recommended by top financial analysts. Then, as a result, the model enables the ER rule to make an evaluation of all strategies for helping investors make decisions. Experiments were carried out to back-test the investment strategy using data from the China Stock Market & Accounting Research (CSMAR) Database for the four-year period between 2009 and 2012. The data contained more than 270,000 reports from more than 4,600 financial analysts. The risk-adjusted average annual return of the strategy outperformed that of the CSI300 index by as much as 10.69% for an investment horizon of six months, with the p value from Student’s t-test as low as 0.02%. The EIA model serves as the first successful application adapting the ER Rule for a new and effective decision-making process in financial investment, and this work is the only empirical study applying the ER Rule to the opinions of financial analysts, to the best of my knowledge.

O presente trabalho busca identificar bull e bear markets para o mercado financeiro brasileiro, especificamente para o índice Ibovespa, através das principais metodologias existentes na literatura: regras não paramétricas e modelos de mudança de regime markoviano. A primeira abordagem foi utilizada como benchmark para comparação com melhor modelo econométrico estimado pela segunda abordagem, visto que trata-se de um método ex-post de identificação. No tange aos modelos de mudança de regime markoviano, constatou-se que permitir regimes distintos também para a variância da série contribui para a identificação dos mesmos. Desta forma, o melhor modelo obtido fora o MSARMA(2,1)-2 para a série de retornos semanais do índice Ibovespa. O modelo foi capaz de identificar os principais eventos que impactaram a economia e o mercado financeiro brasileiro no período. Além disto, o modelo se mostrou útil para a tomada de decisão, visto que a estratégia de investimento, baseada na previsão um passo à frente do estado do mercado, foi capaz de preservar o capital do investidor, gerando um melhor desempenho do que na estratégia buy-and-hold de longo prazo. / This paper seeks to identify bull and bear markets in the brazilian stock market, specifically to the time series of the Ibovespa index, through the main methodologies present in literature: identification based on rules and Markov switching models. The first method was used as a benchmark to compare with the best regime switching model, since it is an ex-post method of identification. Modelling a Markov switching model with two regimes also for the variance of the process resulted in a better identification of the markets. Thus, the best Markov switching model estimated was theMSARMA(2,1)-2 to the time series of the Ibovespa weekly returns. The model was able to identify the main events that have impacted the brazilian economy and also the stock market in the period. Furthermore, the model proved its value in decision making, since in a investment strategy, based on the models one step ahead forecast about the regime of the market, it was able to preserve investor capital, generating a better performance than the buy-and-hold strategy.

The topic of my diploma thesis is {\clqq}The yield, risk and liquidity of investment options{\crqq}. In the introductory part of this thesis, I define the concept of investment. Furthermore, I deal with the financial market theory and with the characteristics of the subsegments which work within this market. I also define securities, their types and specifics. The next part of the thesis is aimed at the investment strategy which should help an investor to proceed reasonably while investing. Herein, I focused on the rules of the magic triangle and on the definition of the yield, risk and liquidity. I mention the theory of the investment portfolio as well. This is followed by the description of the selected investment options divided into subchapters about individual and collective investments; this being the selection of only the most important investment instruments one can use both in the money market and in the stock market. In the rest of the thesis, I deal with the creating of an individual{\crq}s investment portfolio and with the comparison of the yield, risk and liquidity of the selected options.

O presente trabalho busca identificar bull e bear markets para o mercado financeiro brasileiro, especificamente para o índice Ibovespa, através das principais metodologias existentes na literatura: regras não paramétricas e modelos de mudança de regime markoviano. A primeira abordagem foi utilizada como benchmark para comparação com melhor modelo econométrico estimado pela segunda abordagem, visto que trata-se de um método ex-post de identificação. No tange aos modelos de mudança de regime markoviano, constatou-se que permitir regimes distintos também para a variância da série contribui para a identificação dos mesmos. Desta forma, o melhor modelo obtido fora o MSARMA(2,1)-2 para a série de retornos semanais do índice Ibovespa. O modelo foi capaz de identificar os principais eventos que impactaram a economia e o mercado financeiro brasileiro no período. Além disto, o modelo se mostrou útil para a tomada de decisão, visto que a estratégia de investimento, baseada na previsão um passo à frente do estado do mercado, foi capaz de preservar o capital do investidor, gerando um melhor desempenho do que na estratégia buy-and-hold de longo prazo. / This paper seeks to identify bull and bear markets in the brazilian stock market, specifically to the time series of the Ibovespa index, through the main methodologies present in literature: identification based on rules and Markov switching models. The first method was used as a benchmark to compare with the best regime switching model, since it is an ex-post method of identification. Modelling a Markov switching model with two regimes also for the variance of the process resulted in a better identification of the markets. Thus, the best Markov switching model estimated was theMSARMA(2,1)-2 to the time series of the Ibovespa weekly returns. The model was able to identify the main events that have impacted the brazilian economy and also the stock market in the period. Furthermore, the model proved its value in decision making, since in a investment strategy, based on the models one step ahead forecast about the regime of the market, it was able to preserve investor capital, generating a better performance than the buy-and-hold strategy.

金融科技(Financial Technology, FinTech)創新了金融業的經營模式。除了不斷更新金融體系，更升級為平臺架構，結合創新網路經營模式；並持續改善創造利潤及業績，使企業能在瞬息萬變的數位時代，掌握「贏」的契機。 同為華人文化的社會，台灣與香港的金融產業發展的基礎不同，在面臨國內及國際間金融科技與營運管理的變局時，顯現出台港在金融科技產業的位階有差異。香港這兩年在FinTech的創新展現其經營的潛力，可否給步伐緩慢的台灣提供參考。本文在概略敘述金融科技領域相關內涵之外，分析台灣金融科技創新時可能面臨的挑戰。具體的研究問題與目的有二，台港金融科技經營發展模式的差異與台港兩地發展金融科技創新策略的比較。 本研究以文獻收集分析為主要研究方法，敘述兩地金融及資訊科技的背景，並對金融科技的現況加以比較分析。從金融科技投資成功的要素，以及台港推展FinTech策略及初創公司的成果，比較並分析其管理監督體系、發展之重心以及平臺經濟營運實務，剖析投資招募有何值得借鏡之處。台港兩地的發展也受到國際的影響造成投資策略與風險考量產生差異。台灣明顯重視資訊安全，並將之提高到中央總統府層級，香港則以商務發展為重點。數十年來台灣資訊科技創新能量雖較香港為優，然而金融系統保守是其缺點；執政機構及相關業者只要能掌握金融科技的精要，在風險可控的前提下，開啟一個全新的大門，讓金融業、科技業、服務業、農業等都能投入，結合不同專業領域的技術、思維、精神與傳統金融業結合，就可能有創新的金融科技服務商品。 建議擷取香港對國際開大門的成功經驗，建立能與各金融中心接軌的金融科技體系，並參考香港吸收大陸創新專案進入監理沙盒驗證的快速發展做法，嘗試兩岸產業融合發展的新商機與新思路路線，發揮彼此的強項，以擴增金融科技創新產品的利基。讓創新驗證完成的業者能掌握創業契機，給台灣在繼資訊工業之後，再一次站上全球產業新浪頭的機會。 / The business model of financial industry has been innovated by financial Technology (FinTech). In addition, the financial system is also up-to-date and platform architecture is upgrading provided as an end-to-end process via the Internet. These newly developed financial services combine with innovative business models and continuously improve the profitability and performance so that enterprises may grasp the opportunities of “win” in a rapidly changing digital era. With similar Chinese culture, the bases of financial industry in Taiwan and Hong Kong are different. Facing the changing situation of FinTech and the operation at domestic and international, there are differences of Hong Kong and Taiwan in the FinTech level. These two years, the innovation in Hong Kong has exhibited their potential at FinTech, can this provide a reference for the slow developing Taiwan? In this paper, we focus the description of current situations and analyze the challenges of FinTech innovation to Taiwan. There are two aims for this research, a comparison in the modes of operation, and the innovation strategies of FinTech between Taiwan and Hong Kong. We collected literatures about FinTech especially in these two places as a main research method, compareing the status of FinTech. We also analyzed the successful elements of investment in strategies and financial startups, and illustrated the achievements of promotion. The management and supervision system of promotion in FinTech are compared also, focused on the platform economic operation. From the information above, it is worth for learning from investment offerings. We found the influences from international FinTech also caused differences in the investment strategy and risk considerations. Taiwan emphasizes information security and raises it to the level of the presidential management. Hong Kong focuses on business development. Although IT innovation in Taiwan is superior to Hong Kong for decades, the conservative financial system is its own shortcomings. As long as the governing agency and related industry master the essentials of FinTech and open a whole new door under the control of risk, let financial industry, science and technology industry, service industry and even agriculture be invested. Combining different fields of specialists with the traditional financial industry, innovative FinTech services may be constructed. It suggestes that Taiwan should take the successful experience of Hongkong, opening up to the outside world and set up a FinTech system that can connect to other international financial centers. A new opportunity for Taiwan will be expand the niche of FinTech innovation products. Those who have completed the verification of innovation in Sandbox can seize the opportunity. Taiwan may also step onto the global industrialized wave of FinTech after the information industry. Keywords: FinTech, Taiwan, Hong Kong, Investment Strategy, FSC, Supervision Sandbox

The target of this work is to evaluate the unit trusts in light of the multiple-criteria decision making. The unit trusts are divided into the groups according to the investor categories: unit trusts with conservative, balanced and aggressive portfolio. The unit trusts were lined up by the medium of the multiple-criteria decision making methods (PRIAM, ORESTE, MAPPAC) and it is also made an analysis why have each of the methods chosen the particular unit trust in the group as the best compromise variant.

This diploma thesis deals with the investment life insurance. Investment life insurance combines the classical life insurance and the investments in open-end mutual funds. It is a widely discussed financial product, especially for its high expensiveness. Nevertheless, the investment life insurance holds a significant share of the insurance market. The aim of this diploma thesis is the analysis and exploration of investment life insurance market in Czech Republic. The thesis consists of theoretical and practical part. In theoretical part the basic concepts of this insurance product are defined. Theoretical part further contains the theory related to time series analysis and the description of mutual funds. Practical part deals with the five most significant insurance companies in Czech Republic, compares various mutual funds and analyses the selected mutual fund in detail. The forecast of selected mutual fund price development was performed. It turned out that the price forecasting is complicated because of variety of factors affecting the price behaviour. Further, the calculations of insurance premiums and technical provisions were performed. MS Excel was used for the calculations and the time series analysis was performed using the statistical software Eviews. Diploma thesis assists the readers with the orientation in the investment life insurance problematics.

This diploma thesis deals with the management of free capital of a selected company on the financial market with a focus on mutual funds and ETFs. The result is the construction and analysis of the potential appreciation of the investment strategy interpreted through historical data and a comparison of the results with alternative options for the appreciation of financial capital, especially in the form of mutual funds.

The diploma thesis deals with the evaluation of the investments realization and financing of the investment to build the new hall with production line to achieving the expansion of production. The thesis includes assessment of the company´s financial situation, evaluation of the effectiveness of the investment plan. The essence of the thesis is to appropriate way of realizing the investments and determine economic benefit.