Thesis (M.Com. (Economics)) -- University of Limpopo, 2022 / The primary goal of this study was to investigate the effects of budget deficit on fixed investment using annual data for the period 1990-2017 in selected African countries namely, Cameroon, Namibia, Ghana, Egypt, Seychelles, Mauritius, Botswana, Lesotho and South Africa. The study employed panel unit root tests including the Augmented Dickey-Fuller test, Philips Perron test and Levin Lin and chu test. The tests revealed that all the variables are integrated at 1st difference. The study further employed the Panel ARDL bounds test to examine the relationship between budget deficit, fixed investment, money supply and inflation. The empirical findings indicated that a long run relationship exists between the variables of interest. Furthermore, the results revealed that the budget deficit has a negative and statistically significant effect on fixed investment. A one percent increase in the budget deficit, ceteris paribus, leads to a reduction in fixed investment by 44 percent in the long run. The findings further postulated a bidirectional causal relationship between budget deficit and fixed investment, between money supply and fixed investment and between fixed investment and inflation. It was evident in the research that indeed the budget deficit is a problematic macroeconomic policy in African countries. Policy makers should limit high government expenditures as they contribute to increased and persistent budget deficits which crowd out private investment.

Macroeconomic indicators are amongst the most important and used tools for investors as they provide an outlook for the economy and thus improve the assessment of investments e.g. for asset allocation. The purpose of this thesis is to investigate the short- and long-run relationship between the US stock market index S&P500 and six selected macroeconomic indicators during different time regimes during 2000-2016. The chosen indicators are Personal spending, Initial jobless claims, M1 Money supply, Building permits, Michigan Consumers Sentiment index and the ISM Manufacturing index as they measure different parts of the economy and are commonly used by investors. We achieve the purpose by using the Autoregressive Distributed Lags model (ARDL) as it has several advantages in relation to comparable time series models. The results show that all indicators except Personal spending are significant in the long-run on the 1-percent level, in at least one time-regime. All indicators have significant results also in the short-run except the Money Supply (M1), depending on which time period that is under investigation. Our conclusion is that our chosen indicators have different characteristics depending on the current dynamics of the stock market, economic state and other related markets. The practical implication for investors is that different indicators are of limited use depending on the current market dynamics and investors must evaluate the underlying premises of the development of the indicator rather than interpreting a specific datapoint. / Makroekonomiska indikatorer är bland de mest viktiga och använda verktygen av investerare eftersom man kan få en överblick av den ekonomiska utvecklingen och således förbättra beslutsunderlaget vid till exempel tillgångsallokering. Syftet med denna avhandling är att undersöka de kort- och långsiktiga förhållandena mellan det amerikanska aktiemarknadsindexet S&P500 och sex utvalda makroekonomiska indikatorer under olika tidsperioder mellan 2000-2016. De valda indikatorerna är Personal spending, Initial jobless claims, M1 Money supply, Building permits, Michigan Consumers Sentiment index och ISM Manufacturing index eftersom de mäter olika delar av ekonomin och används kontinuerligt av investerare. Vi uppnår syftet genom att använda en Autoregressive Distributed Lags (ARDL) modell då den har flertalet fördelar i förhållande till jämförbara tidsseriemodeller. Resultaten visar att alla indikatorer utom Personal spending är signifikant på lång sikt på enprocentsnivån, över olika tidsperioder. Alla indikatorer har även signifikanta resultat på kort sikt förutom M1 Money supply, beroende på vilken tidsperiod som studeras. Vår slutsats är att dem valda indikatorerna har olika egenskaper beroende på den aktuella dynamiken i aktiemarknaden, ekonomin eller andra relaterade marknader. Den praktiska konsekvensen för investerare är att eftersom olika indikatorer är av begränsad användning beroende på den rådande marknadsdynamiken, måste investeraren noggrant utvärdera de underliggande villkoren för utvecklingen av en unik indikator snarare än att endast tolka en unik datapunkt.

Macroeconomic indicators are amongst the most important and used tools for investors as they provide an outlook for the economy and thus improve the assessment of investments e.g. for asset allocation. The purpose of this thesis is to investigate the short- and long-run relationship between the US stock market index S&P500 and six selected macroeconomic indicators during different time regimes during 2000-2016. The chosen indicators are Personal spending, Initial jobless claims, M1 Money supply, Building permits, Michigan Consumers Sentiment index and the ISM Manufacturing index as they measure different parts of the economy and are commonly used by investors. We achieve the purpose by using the Autoregressive Distributed Lags model (ARDL) as it has several advantages in relation to comparable time series models. The results show that all indicators except Personal spending are significant in the long-run on the 1-percent level, in at least one time-regime. All indicators have significant results also in the short-run except the Money Supply (M1), depending on which time period that is under investigation. Our conclusion is that our chosen indicators have different characteristics depending on the current dynamics of the stock market, economic state and other related markets. The practical implication for investors is that different indicators are of limited use depending on the current market dynamics and investors must evaluate the underlying premises of the development of the indicator rather than interpreting a specific datapoint. / Makroekonomiska indikatorer är bland de mest viktiga och använda verktygen av investerare eftersom man kan få en överblick av den ekonomiska utvecklingen och således förbättra beslutsunderlaget vid till exempel tillgångsallokering. Syftet med denna avhandling är att undersöka de kort- och långsiktiga förhållandena mellan det amerikanska aktiemarknadsindexet S&P500 och sex utvalda makroekonomiska indikatorer under olika tidsperioder mellan 2000-2016. De valda indikatorerna är Personal spending, Initial jobless claims, M1 Money supply, Building permits, Michigan Consumers Sentiment index och ISM Manufacturing index eftersom de mäter olika delar av ekonomin och används kontinuerligt av investerare. Vi uppnår syftet genom att använda en Autoregressive Distributed Lags (ARDL) modell då den har flertalet fördelar i förhållande till jämförbara tidsseriemodeller. Resultaten visar att alla indikatorer utom Personal spending är signifikant på lång sikt på enprocentsnivån, över olika tidsperioder. Alla indikatorer har även signifikanta resultat på kort sikt förutom M1 Money supply, beroende på vilken tidsperiod som studeras. Vår slutsats är att dem valda indikatorerna har olika egenskaper beroende på den aktuella dynamiken i aktiemarknaden, ekonomin eller andra relaterade marknader. Den praktiska konsekvensen för investerare är att eftersom olika indikatorer är av begränsad användning beroende på den rådande marknadsdynamiken, måste investeraren noggrant utvärdera de underliggande villkoren för utvecklingen av en unik indikator snarare än att endast tolka en unik datapunkt.

Cette thèse répond à un double objectif, elle s’est concentrée d’une part sur le rôle joué par l’énergie dans le développement industrielle et économique des pays et d’autres parts sur les retombées de son usage sur l’environnement et l’état de santé des individus. Nous avons élaboré et exploité une base de données relative à la région de Sfax, qui a été utilisée pour l’analyse empirique adaptée à chaque axe de recherche. Le cheminement suivi pour argumenter cette thèse nous a amené à constituer trois chapitres. Au niveau du premier chapitre, nous avons particulièrement apprécié le rôle que l’énergie a préoccupé dans le développement économique des nations. Suite à notre analyse empirique, deux résultats principaux sont annoncés, d’abord, la présence d’un effet de long terme entre la consommation de l’énergie et le développement économique dans la région de Sfax impliquant ainsi sa dépendance économique à l’énergie, ensuite, l’existence d’une relation de causalité unidirectionnelle partant de la consommation de l’énergie vers la croissance économique. Dans un deuxième chapitre, nous nous sommes intéressés à étudier l’impact de la consommation de l’énergie sur la détérioration de la qualité de l’environnement. Deux points sont mis en valeur. Premièrement, une corrélation est détectée entre la consommation de l’énergie et les polluants suivants : PM10, SO2 et NO2. Deuxièmement, la présence de l’O3 troposphérique dans l’air n’est pas subordonnée à la consommation de l’énergie mais plutôt aux réactions photochimiques impliquant le NO2 et l’oxygène sous l’effet des rayons solaires ultra-violets. Finalement, les facteurs météorologiques et surtout la température (T) et l’humidité relative (HR) agissent sur la dispersion des polluants et leur accumulation autour de leurs sources d’émissions. Le dernier chapitre s’est focalisé sur l’analyse de l’impact sanitaire de la pollution atmosphérique. Adapté au contexte de la région de Sfax, trois constats principaux sont détectés. Tout d’abord, les maladies cardiovasculaires sont affectées par les émissions de S02 tandis que les maladies respiratoires sont influencées par les émissions de SO2 et O3. Ensuite, une corrélation est justifiée entre l’O3 te le NO2 qui confirme la réaction chimique de piégeage de l’ozone déjà indiquée. Enfin, nous avons déduit que la vitesse de vent (VV) impacte la distribution des polluants principalement le NO2, le SO2 et les PM10. La température (T) affecte à son tour les admissions hospitalières pour motif cardiovasculaire. / This thesis has a dual purpose; it focused on the one hand on the role of energy in the industrial and economic development of the country and on the other hand on the impact of its use on the environment and health status of individuals. We developed and operated a database on the Sfax region, which has been used for empirical analysis suited to each area of ​​research. The path followed to argue this thesis has led us to establish three chapters.At the first chapter, we particularly appreciated the role of energy in economic development of nations. Following our empirical analysis, two main results are announced, first, the presence of a long-term effect between energy consumption and economic development in the region of Sfax implying its economic dependence on energy. Then the existence of unidirectional causal relationship starting from energy consumption to economic growth. In the second chapter, we are interested in studying the impact of energy consumption on the deterioration of the environment quality. Two points are emphasized, first, a correlation is found between energy consumption and the following pollutants: PM10, SO2 and NO2. Secondly, the presence of tropospheric ozone (O3) in the air is not conditional on the energy consumption but rather to photochemical reactions involving NO2 and oxygen under the influence of solar ultraviolet radiation. Finally, weather factors, especially temperature (T) and relative humidity (RH) affect the dispersion of pollutants and their accumulation around their emission sources. The last chapter is focused on the analysis of the health impact of air pollution. Adapted to the region of Sfax, three main findings are detected. First, cardiovascular diseases are affected by S02 emissions and while respiratory diseases are influenced by emissions of SO2 and O3. Then, a correlation is justified between O3 NO2, confirming the chemical reaction of ozone scavenging already indicated. Finally, we concluded that the wind speed (VV) affects the distribution of pollutants mainly NO2, SO2 and PM10. Temperature (T) in turn affects hospital admissions for cardiovascular reasons.

This study empirically examines the impact of monetary policy on economic growth in three East African countries (Uganda, Kenya and Tanzania). The role of monetary policy in promoting economic growth remains empirically an open research question, as both the empirical and theoretical underpinnings are not universal, and the results remain varying, inconsistent, and inconclusive. This study may be the first of its kind to examine in detail the impact of monetary policy on economic growth in Uganda, Kenya and Tanzania – using the autoregressive distributed lag (ARDL) bounds-testing approach. This study used two proxies of monetary policy, namely, money supply and interest rate, to examine this linkage. The results were found to differ from country to country and over time. The Uganda empirical results reveal that money supply has a positive impact on economic growth, both in the short run and in the long run. However, interest rate was found to have a positive impact on economic growth only in the short run. In the long run, interest rate has no significant impact on economic growth. In Kenya, both short-run and long-run empirical results support monetary policy neutrality, implying that monetary policy has no effect on economic growth – both in the short run and in the long run. The results from Tanzania also reveal no impact of monetary policy on economic growth in the long run – irrespective of the proxy used to measure monetary policy. However, the short-run results only reveal no impact of monetary policy on economic growth only when the interest rate is used as a proxy for monetary policy. When money supply is used to measure monetary policy, a negative relationship between monetary policy and economic growth is found to dominate. Overall, the study finds that monetary policy is only relevant for economic growth in Uganda and only when money supply is used as monetary policy variable. Therefore this study recommends a money supply based monetary policy framework for Uganda. The study findings also suggest that monetary policy may not be a panacea for economic growth in Kenya and Tanzania. / Economics / M. Com. (Economics)

傳統財務理論中均假設市場為效率市場，然而不動產市場並非效率市場，投資者對於市場資訊之反應並非完全理性。若投資者忽視自身擁有之資訊，選擇追隨其他人的投資決策，將使投資人間存在相互牽制之行為，因而產生行為財務學中之「從眾行為」，其決策結果將無法完全反應市場資訊，並造成投資人集體買進、賣出之行為，使市場價格與交易量存在不正常之波動。由於台灣不動產市場長期以來存在有價格漲幅波動超越合理範圍之現象，因此本研究探討台灣不動產市場是否存有從眾行為，使得投資人具有非理性的投資傾向。 有鑑於過去關於從眾行為之研究仍以股票市場中報酬率或交易量驗證為主，對於台灣運用交易量進行不動產市場之從眾行為驗證則付之闕如，而從眾行為對於不動產市場之影響，首先將反映於交易量之波動，因此本研究運用自我迴歸分配落遲模型對於台灣不動產市場是否存在從眾行為進行驗證，並比較不動產報酬率波動不同之交易市場，其從眾行為存在情形之異同。 模型結果顯示台灣三大都會區（臺北市、臺中市與高雄市）與臺北市分區（分為市中心、郊區與郊外）中，僅臺北市整體與臺北市分區之住宅市場明顯存在從眾行為現象。結果顯示當該住宅市場存在從眾行為時，當期交易量將受到當期持有成本與前期市場報酬率之影響。此外，交易量除受從眾行為之影響外，尚受到經濟成長率、營建類股股價指數、物價指數租金年增率、營造工程物價指數等之正向影響，而購屋貸款利率與通貨膨脹則和交易量呈反向變動現象。 本研究以探討從眾行為、交易量與總體經濟因素之關連性，進一步釐清影響住宅市場交易量波動之因素，使購屋者於決策時參考前期市場交易情形能更加理性，避免盲目跟隨下的從眾行為產生。 / Base on the Efficient Market Hypothesis, the traditional financial theory assumes the market is efficient. However, the real estate market is not. For this reason, investors could not react to market information entirely. If investors ignore their own information, they may choose to follow other peoples’ investment decisions. Therefore, this situation will lead to herding behavior of behavioral finance that may cause price volatility and unusual transactions. On account of the real estate market exists unreasonable price fluctuations for a long time in Taiwan, this thesis examines whether the herding behavior exists in Taiwan real estate market or not. Although many researchers study the herding behavior in the stock market by using the transactions and the returns on investment, few attempts have been made to discuss the herding behavior in Taiwan housing market by using the housing transactions. Hence, this study examines the herding behavior in Taiwan housing market by establishing the Auto-regressive Distributed Lag (ARDL) model with housing transaction data. Results found the herding behavior of real estate market do exist in the whole Taipei city and the three region of Taipei city (downtown, suburb and outskirt). And it shows the transactions in the housing market with herding behavior may be affected by user cost of housing and pre-market returns. Furthermore, the study finds some macroeconomic factors affecting the housing transactions positivity, such as economic growth rate, construction stocks index, consumer price index of house renting and consumer price index of construction engineering. On the contrary, loan interest rate of housing and consumer price index has negative influence. To conclude, this study aims to examine the influential factors on the volatility of housing transactions though clarifying the relationship between the herding behavior, the transactions in housing market and the macroeconomic factors. It may help investors follow other peoples’ investment decisions more reasonable, and avoid blind herding behavior in real estate markets.

This study empirically investigates the key macroeconomic determinants of economic growth in three Southern African Development Community countries, namely: Malawi, Zambia, and South Africa, using annual data for the period 1970-2013. The study uses the recently developed Autoregressive Distributed Lag bounds-testing approach to co-integration and error correction model. In Malawi, the study finds that investment, human capital development, and international trade are positively associated, while inflation is negatively associated with economic growth in the short run. In the long run, the results reveal that investment, human capital development, and international trade are positively and significantly associated, while population growth and inflation are negatively and significantly associated with economic growth. In Zambia, the short-run results reveal that investment and human capital development are positively and significantly associated, while government consumption, international trade, and foreign aid are negatively and significantly associated with economic growth. The long-run results reveal that investment and human capital development are positively and significantly associated, while foreign aid is negatively and significantly associated with economic growth. In South Africa, the study results show that in the short run, investment is positively and significantly associated, while population growth and government consumption are negatively and significantly associated with economic growth. In the long run, the results reveal that economic growth is positively and significantly associated with investment, human capital development, and international trade, but negatively and significantly associated with population growth, government consumption, and inflation. These results all have significant policy implications. It is recommended that Malawian authorities should focus on strategies that attract investment: in addition there is a need to improve the quality of education, encourage export diversification, reduce population growth, and ensure inflation stability. Similarly Zambian authorities should focus on creation of incentives that attract investment, provision of quality education: moreover they need to improve government effectiveness, encourage international trade and ensure the effectiveness of development aid. South African authorities are recommended to focus on policies that attract investments, the provision of quality education, and trade liberalisation: concomitantly there is also a need to reduce population growth, government consumption and inflation. / Economics / Ph.D. (Economics)

Thesis (M. Commerce (Economics)) -- University of Limpopo, 2016 / The purpose of this paper is to ascertain the impact of the real effective exchange rate on South Africa‟s trade balance and whether the J-curve phenomenon and the Marshal-Lerner condition are satisfied in the economy. Using data spanning the period 1980Q1 – 2014Q4, the Autoregressive Distributed Lag (ARDL) bounds test as well as the Johansen cointegration test were employed to test for the long run cointegrating relationship between the variables. The ARDL approach was employed to estimate both the long run and short run models as well as to ascertain whether the Marshal – Learner condition as well as the J-curve phenomenon are satisfied in the RSA economy. The results from the cointegration tests show that there is a stable long run equilibrium relationship between the trade balance, real effective exchange rate, domestic GDP, money supply, terms of trade and foreign reserves. The results from the Autoregressive Distributed Lag long run model show that a depreciation of the ZAR improves the trade balance, thus confirming the MarshalLerner condition. The results further reveal that domestic GDP and money supply both have a significant negative impact on the trade balance in the long run with the terms of trade reported positive as well. Foreign reserves were not found to significantly affect the trade balance in the long run. In the short run, the ARDL error correction model shows that a ZAR depreciation leads to a deterioration of the trade balance, thus confirming the J-curve effect for the RSA economy. The terms of trade effect was reported positive in the short run, thus confirming the Harberger-LaursenMetzler effect (HLME) in the process. Money supply, domestic GDP and foreign reserves are also found to have a significant negative impact on the trade balance in the short run. Finally, the error correction model reveals that about 26% of the disequilibrium in the trade balance model is corrected in each quarter.

Thesis (M. Com. (Economics)) -- University of Limpopo, 2021 / Investment as one of the main macroeconomic variables can ensure development of infrastructure and economic growth through increasing productivity and attracting investors. This study examined key determinants of investment activities by means of a comparative analysis between the SADC and BRICS groups during the period 2004- 2019. The key variables were the real exchange rate, real interest rate and trade openness. The analysis began by reporting unit roots tests, which paved way for employing Panel Autoregressive Distributive Lag (PARDL) methodology in the existence of different orders of integration. To estimate the long run relationship between the variables, we made use of the panel Johansen cointegration test, Pedroni test, Kao test and the Johansen Fisher cointegration test. Through the PARDL, the exchange rate and trade openness were found to be positive and statistically significant determinants of investment in SADC although statistically insignificant in the BRICS group. In addition, interest rates yielded insignificant results in the SADC region while, on the contrary, yielded a negative and statistically significant relationship in the BRICS group. The Granger causality test indicated a bi-directional causality in the exchange rate-investment and trade openness investment nexus for the SADC group while there was no causality in the BRICS group. It can be concluded that trade openness and exchange rate are key determinants of investment in the SADC region while interest rates are key in the BRICS group. It is therefore recommended that in order to attract investors and boost investment activities the SADC group need to focus more on exchange rate stability and trade openness while the BRICS group need to pay more attention to the flexibility of interest rates. This is beneficial on trading patterns, more for South Africa as it can be found in both groups.

The thesis examines the comprehensive relationship between all aspects of financial liberalisation and economic growth in three countries from the Economic Community of West African States (ECOWAS). Employing ARDL bounds test approach and real GDP per capita as growth indicator; the thesis finds support in favour of the McKinnon-Shaw hypothesis but also finds that the increases in the subsequent savings and investments have not been transmitted into economic growth in two of the studied countries. Moreover, the thesis also finds that stock market developments have negligible or negative impact on economic growth in two of the selected countries. The thesis concludes that in most cases, it is not financial liberalisation polices that affect economic growth in the selected ECOWAS countries, but rather increase in the productivity of labour, increase in the credit to the private sector, increase in foreign direct investments, increase in the capital stock and increase in government expenditure contrary to expectations. Interestingly, the thesis also finds that export has only negative effect on economic growth in all the selected ECOWAS countries. The thesis therefore, recommends that long-term export diversification programmes be implemented in the ECOWAS regions whilst further investigation is carried on the issue. / Economic Sciences / D. Litt et Phil. (Economics)