量價關係，一直以來皆為技術分析學派所廣泛運用，其主張運用過去的股價以及成交量來推測股票未來的走勢，而也有許多的研究以及投資策略皆是從量價關係所出。在國內，小型股也由於其股本小的特性，往往成為有心人士炒作之標的。此外，小型股亦較大型股具有不對稱資訊的性質，而由於成交量背後往往隱藏著許多的資訊，因此投資人利用量與價之間的關係，得到能夠有效預測小型股股價的方法以利其投資。 而本文之研究，將量價關係運用在小型股上，想檢視彼此間有無任何關係存在。本文中我們使用了因果關係檢定，三因子模型，以及縱橫迴歸模型，用來分別檢視小型股與大型股的量價關係。驗證結果發現，在不同的檢驗方式下，都會得到小型股較大型股，有顯著量價影響的關係存在。 / The relation between volume and price is widely used in technical analysis. It predicts future stock price by using past stock price and volume. There are lots of investigations and investment strategies are stemmed from it. In Taiwan, small caps are preferred to be held by the people who would like to manipulate the price because of their small number of capitalization. In addition, compared with large caps, small caps are of asymmetric information to the investors. As there is lot of information hidden behind volume, investors are likely to use the relation between volume and price to get a useful way to predict small caps’ stock price. In this paper, I use granger causality test, three-factor model, and panel data model to test the relation between price/return and volume of small caps and big caps separately. The experiment shows that use different ways, we can verify there exist more obvious relations between volume and price in small caps than in large caps.

本研究的目的在探討台灣貨幣市場短天期利率衍生性金融商品（30天期商業本票利率期貨、90天遠期利率協定〈以下簡稱FRA〉）對其即期利率（30天期商業本票利率、90天期商業本票利率）之『價格發現』功能。可由兩方面來檢定利率遠期協定或利率期貨市場之『價格發現』功能：（1）市場效率性：FRA、利率期貨價格可否作為未來到期日時即期利率之不偏預期；（2）FRA、利率期貨與即期利率價格間之領先-落後關係。 選取各交易日的日資料作為觀察值。在研究方法上採用ADF單根檢定、效率性檢定、向量自我相關模型（VAR）、Granger因果關係檢定、誤差正交檢定、共整合檢定、誤差修正模型。 結論結果發現，90天遠期利率協定（FRA）對90天期商業本票利率進行『價格發現』的分析，以「市場效率性檢定」的結果顯示此市場無效率，亦即無『價格發現』，可能是因為買FRA的機構投資人目的不是持有到到期，僅為判斷短期利率走勢方向，可能買個幾天欲賺取差價利潤，所以非為未來現貨價格的不偏預期；以「領先-落後關係分析」，顯示其無『價格發現』，此一結果的可能解釋是由於台灣FRA市場非集中市場公開交易，交易量尚不及現貨市場。因此市場資訊的不透明可能使遠期契約價格不如現貨價格般具代表性。 30天期商業本票利率期貨對30天期商業本票利率進行『價格發現』的分析，以「市場效率性檢定」結果顯示在到期日前適當的期間（24~36天）此市場具有效率性，即存在『價格發現』；而「領先-落後關係分析」結果則無明顯的領先落後，不具有期貨領先現貨的『價格發現』，此部分我們可能提出的解釋為：在30天期商業本票利率期貨剛推出不久，一般市場上的交易者大多是從事避險交易，鮮少進行投機行為，所以不具有短天的領先落後關係，其顯示價格發現是在考慮市場存在風險溢酬下，到期前24~36天的利率期貨價格是未來現貨價格的預期。

Financial liberalisation, through increasing investment as well as the average productivity of capital, should stimulate economic growth, or so the theory goes. Bank lending unfortunately suffers adverse selection and moral hazard effects, to which the establishment and expansion of stock markets has been offered as a remedy. However, research from developing country stock markets have shown that in many cases these markets did not complement the effects of credit market liberalisation but in rather important aspects subverted them. Countries that implemented credit market liberalisation and raised real interest rates only increased the price of debt capital rather than all capital. This caused a share price boom in many of them. When the price of equity capital fell it seriously undermined and indeed allowed large private corporations to skip altogether the main channel of high interest rates through which the theoretical McKinnon-Shaw effects were to operate. This study asks the research question of what effect the expansion of the South African stock exchange has had for its economic development. It makes use of a general empirical model to explain the relationship between financial development and real output. The model comprises indicators for growth, banking system development, stock market volatility; and, stock market development through a conglomerate index that accounts for market size, liquidity and integration with world capital markets. Quarterly data from 1989 to 2001 is analysed based on the null hypothesis that, as far as financial architecture is concerned, the development of the JSE Securities Exchange has stimulated the country's economic growth. This study found a negative and statistically significant relation between stock market development and economic growth. It suggests that while the JSE Securities Exchange is a relatively large stock market it is the presence of thin trading that prevents the proposed benefits of market development from accruing to the economy. Thus the hypothesis is rejected. However, since the only stable cointegrating vector is between growth and banking sector development, it recommends that by expanding their universal banking functions, the present banking structure, though oligopolistic, may be better suited to act as a catalyst for growth. / Business Management / D. Comm.

The main aim of this thesis is to discover a suitable instant of time for the Czech Republic to join European Monetary Union. I am analyzing dependence between monetary policies of the Czech National Bank (CNB) and the European Central Bank (ECB) themselves as well as in relation to essential Czech macroeconomic indicators. My observation is focused on interest rate policies represented by operative interest rates, on monetary policies represented by indices of nominal effective exchange rates and on convergence monitoring. The analytical instruments I used in the thesis are correlation analyses, linear trends, the Granger causality test and the Impulse-Reaction test. Besides, my thesis examines fulfillment of the Convergence (Maastricht) criteria in the Czech Republic and other central European countries. This thesis also examines impact of the European monetary policy on some Eurozone member countries.

Functional magnetic resonance imaging (fMRI) is recent important method, used in neuroimaging. The aim of this thesis is to develop software tool for comparison of two methods for functional and effective connectivity estimation. In this thesis are described the basics of magnetic resonance imaging, fMRI, basic terms of fMRI experiments and generally are described methods of functional and effective connectivity. Then are more detailed mentioned methods of dynamic causal modeling (DCM), Granger causal modeling (GCM) and independent component analysis (ICA). Practical implementation of DCM in toolbox SMP and ICA in toolbox GIFT is also mentioned. In purpose to describe behavior of DCM and GCM in dependence on several parameters are performed Monte Carlo simulations. Then the concept and realization of software tool for simulating connectivity and comparison of DCM and GCM are described. Finally results of DCM and GCM comparison and results of Monte Carlo simulations are discussed.

This study examines the public debt, public debt service and economic growth nexus in Zambia, Zimbabwe and South Africa using time-series data from 1970 to 2017. This research provides empirical evidence to contribute, firstly, to the ongoing public policy debate regarding the dynamic relationship between public debt, public debt service and economic growth, and their causal relationship; and secondly, to the relative impact of domestic and foreign public debt on economic growth in the selected study countries. For this purpose, four empirical models were utilised and estimated using the Autoregressive Distributed Lag (ARDL) bounds to cointegration and the error correction ARDL-based causality test. Model 1 explored the impact of aggregate public debt on economic growth, while Model 2 investigated the relative impact of domestic and foreign public debt on economic growth. Model 3 examined the impact of public debt service on economic growth, whereas the causality between aggregate public debt and economic growth, and between public debt service and economic growth is tested in Model 4a and Model 4b, respectively. Results show that in Model 1, aggregate public debt has a positive impact on economic growth in Zambia but is negative in Zimbabwe and South Africa. In Model 2, domestic public debt negatively impacts economic growth in Zambia and Zimbabwe and positive impact in South Africa. In addition, foreign public debt has a positive impact on economic growth in Zambia and negative impact in Zimbabwe and South Africa. The results from Model 3 largely support a negative relationship between public debt service and economic growth in Zambia and Zimbabwe, and an insignificant relationship in South Africa. The causality results for Model 4a indicate that it is economic growth that drives public debt in all the study countries. Finally, no causal relationship between public debt service and economic growth was confirmed in all the study countries (Model 4b). / Economics / D. Phil. (Economics)

The relationship between energy consumption and economic growth has been a popular topic in recent studies, with a considerable amount of literature conducted, although there still is no consensus regarding the relationship. Few studies have analysed the nuclear energy growth nexus with greenhouse gas emissions, and none have used the same method, data, and sample period. Therefore, there are still gaps in the literature regarding the Energy Growth Nexus, and this study provides a unique insight into the Swedish nuclear dilemma.   The purpose of this paper is to study the causal relationship between economic growth and nuclear energy consumption, and the causality between greenhouse gas emissions and nuclear energy consumption, in Sweden. The results of which are used to discuss the future consequences a continued shutdown of Sweden’s nuclear power could have. Seven EU nations and two non-EU nations are included to be able to make comparisons to Sweden. This paper is based on a method of time series analysis by conducting Ordinary Least Squares-regressions in combination with Granger causality tests.    Our results indicate that nuclear power granger cause growth in Belgium and the United Kingdom. Additionally, this study finds a bidirectional granger causality between greenhouse gas emissions and nuclear energy in the USA. The causal relationship between nuclear energy, economic growth, and greenhouse gas emissions in Sweden is still unclear. However, the Swedish energy market is facing multiple challenges including global warming, increased energy demand, and a transition towards a completely renewable energy mix. The role of nuclear power in the Swedish energy mix is still unclear. It is therefore the authors belief that a decision regarding the future of the Swedish energy supply is needed. / Förhållandet mellan energikonsumtion och ekonomisk tillväxt har varit ett populärt ämne i nutida forskning, detta då en avsevärd mängd litteratur har författats på ämnet, dock har forskningen ännu inte funnit konsensus gällande det påstådda förhållandet. Få studier har emellertid analyserat energi-tillväxt sambandet med växthusgaser, inga av dessa studier har använt samma metod, data och tidsperiod. Med grund i detta finns det ändock ett tomrum i forskningen och litteraturen gällande energi-tillväxt sambandet och denna studie tillhandahåller en särskild insikt i det svenska kärnkraftsdilemmat.    Syftet med denna uppsats har varit att studera det kausala förhållandet mellan ekonomisk tillväxt och kärnkraftskonsumtion, samt kausaliteten mellan utsläpp från växthusgaser och ekonomisk tillväxt, i Sverige. Resultaten av denna uppsats har använts för att diskutera och analysera framtida konsekvenser av en fortsatt kärnkraftsnedstängning i Sverige. Sju EU-nationer samt två länder utanför EU har inkluderats för att kunna genomföra jämförelser med Sverige. Denna uppsats är baserad på en metod av tidsserieanalys som regression kallad Minsta Kvadratregressioner i kombination med Granger kausalitets-tester.   Uppsatsens resultat indikerar att kärnkraft Granger-kauserar tillväxt i Belgien och Storbritannien. Studien finner även en dubbelriktad Granger-kausalitet mellan växthusgasutsläpp och kärnkraft i USA. Det kausala sambandet mellan kärnkraft, ekonomisk tillväxt och växthusgasutsläpp i Sverige är fortsatt otydligt. Den svenska energimarknaden står emellertid inför flera utmaningar som främst inkluderar global uppvärmning, ökande efterfrågan på energi samt en pågående övergång till en helt förnybar energimix. Rollen kärnkraft kommer ha i den svenska energimixen är fortfarande oklar. Det är därför författarnas uppfattning att ett beslut angående hur det framtida energiutbudet ska se ut måste tas.

Thèse numérisée par la Direction des bibliothèques de l'Université de Montréal.

Foreign aid has been used on the one hand by donors as an important international relations policy tool and on the other hand by developing countries as a source of funds for development. Since its inception in the 1940s, foreign aid has been one of the most researched topics in development economics. This study adds to this growing aid effectiveness literature, with a particular focus on the under-researched relationship between foreign aid and extreme poverty. The main empirical assessment is based on a sample of 120 developing countries from 1981 to 2013. The study had two main objectives, namely: (i) to estimate the impact of foreign aid on poverty reduction and (ii) to examine the direction of causality between foreign aid and poverty in developing countries. From these two broad objectives, there are six specific objectives, which include to: (i) examine the overall impact of foreign aid (total official development assistance) on extreme poverty, (ii) investigate the impact of different proxies of foreign aid on the three proxies of extreme poverty, (iii) assess whether political freedom (democracy) or economic freedom enhances the effectiveness of foreign aid, (iv) compare the impact of foreign aid on extreme poverty by developing country income groups, and (v) examine the direction of causality between extreme poverty and foreign aid. To achieve these objectives, the study employed two main dynamic panel data econometric estimation methods, namely the systemgeneralised method of moments (SGMM) technique and the panel vector error correction model (VECM) Granger causality framework. While the SGMM was used to assess the impact of foreign aid on extreme poverty, the panel VECM Granger causality was used to examine the direction of causality between foreign aid poverty. The SGMM was used because of its ability to deal with endogeneity by controlling for simultaneity and unobserved heterogeneity, whereas the panel VECM was preferred because the variables were stationary and cointegrated. / Economics / D. Phil. (Economics)