Academic literature on the topic 'Stock exchanges Australia Econometric models'
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Journal articles on the topic "Stock exchanges Australia Econometric models"
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Angelidis,, Dimitrios, Athanasios Koulakiotis, and Apostolos Kiohos. "Feedback Trading Strategies: The Case of Greece and Cyprus." South East European Journal of Economics and Business 13, no. 1 (June 1, 2018): 93–99. http://dx.doi.org/10.2478/jeb-2018-0006.
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Abstract This paper examines whether or not feedback trading strategies are present in the Athens (ASE) and Cyprus Stock Exchanges (CSE). The analysis employs two econometric models: the feedback trading strategy model, introduced by Sentana and Wadhwani (1992), and the exponential autoregressive model, proposed by LeBaron (1992). These two theoretical frameworks, separately, were joined with the FIGARCH (1, d, 1) approach. Both models assume two different groups of traders - the “rational” investors that build their portfolio by following the firms’ fundamentals and the “noise” speculators that ignore stock fundamentals and focus on a positive (negative) feedback trading strategy. The empirical results revealed that negative feedback trading strategies exist in the two underlying stock markets
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Majewski, Sebastian, Waldemar Tarczynski, and Malgorzata Tarczynska-Luniewska. "Measuring investors’ emotions using econometric models of trading volume of stock exchange indexes." Investment Management and Financial Innovations 17, no. 3 (September 30, 2020): 281–91. http://dx.doi.org/10.21511/imfi.17(3).2020.21.
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Traditional finance explains all human activity on the ground of rationality and suggests all decisions are rational because all current information is reflected in the prices of goods. Unfortunately, the development of information technology and a growth of demand for new, attractive possibilities of investment caused the process of searching new, unique signals supporting investment decisions. Such a situation is similar to risk-taking, so it must elicit the emotional reactions of individual traders.The paper aims to verify the question that the market risk may be the determinant of traders’ emotions, and if volatility is a useful tool during the investment process as the measure of traders’ optimism, similarly to Majewski’s work (2019). Likewise, various econometric types of models of estimation of the risk parameter were used in the research: classical linear using OLS, general linear using FGLS, and GARCH(p, q) models using maximum likelihood method. Hypotheses were verified using the data collected from the most popular world stock exchanges: New York, Frankfurt, Tokyo, and London. Data concerned stock exchange indexes such as SP500, DAX, Nikkei, and UK100.
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Chambi Condori, Pedro Pablo. "Financial contagion: The impact of the volatility of global stock exchanges on the Lima-Peru Stock Exchange." Economía & Negocios 1, no. 1 (June 24, 2020): 13–27. http://dx.doi.org/10.33326/27086062.2019.1.896.
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What happens in the international financial markets in terms of volatility, have an impact on the results of the local stock market financial markets, as a result of the spread and transmission of larger stock market volatility to smaller markets such as the Peruvian, assertion that goes in accordance with the results obtained in the study in reference. The statistical evaluation of econometric models, suggest that the model obtained can be used for forecasting volatility expected in the very short term, very important estimates for agents involved, because these models can contribute to properly align the attitude to be adopted in certain circumstances of high volatility, for example in the input, output, refuge or permanence in the markets and also in the selection of best steps and in the structuring of the portfolio of investment with equity and additionally you can view through the correlation on which markets is can or not act and consequently the best results of profitability in the equity markets. This work comprises four well-defined sections; a brief history of the financial volatility of the last 15 years, a tight summary of the background and a dense summary of the methodology used in the process of the study, exposure of the results obtained and the declaration of the main conclusions which led us mention research, which allows writing, evidence of transmission and spread of the larger stock markets toward the Peruvian stock market volatility, as in the case of the American market to the market Peruvian stock market with the coefficient of dynamic correlation of 0.32, followed by the Spanish market and the market of China. Additionally, the coefficient of interrelation found by means of the model dcc mgarch is a very important indicator in the structure of portfolios of investment with instruments that they quote on the financial global markets.
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Ampomah, Ernest Kwame, Zhiguang Qin, and Gabriel Nyame. "Evaluation of Tree-Based Ensemble Machine Learning Models in Predicting Stock Price Direction of Movement." Information 11, no. 6 (June 20, 2020): 332. http://dx.doi.org/10.3390/info11060332.
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Forecasting the direction and trend of stock price is an important task which helps investors to make prudent financial decisions in the stock market. Investment in the stock market has a big risk associated with it. Minimizing prediction error reduces the investment risk. Machine learning (ML) models typically perform better than statistical and econometric models. Also, ensemble ML models have been shown in the literature to be able to produce superior performance than single ML models. In this work, we compare the effectiveness of tree-based ensemble ML models (Random Forest (RF), XGBoost Classifier (XG), Bagging Classifier (BC), AdaBoost Classifier (Ada), Extra Trees Classifier (ET), and Voting Classifier (VC)) in forecasting the direction of stock price movement. Eight different stock data from three stock exchanges (NYSE, NASDAQ, and NSE) are randomly collected and used for the study. Each data set is split into training and test set. Ten-fold cross validation accuracy is used to evaluate the ML models on the training set. In addition, the ML models are evaluated on the test set using accuracy, precision, recall, F1-score, specificity, and area under receiver operating characteristics curve (AUC-ROC). Kendall W test of concordance is used to rank the performance of the tree-based ML algorithms. For the training set, the AdaBoost model performed better than the rest of the models. For the test set, accuracy, precision, F1-score, and AUC metrics generated results significant to rank the models, and the Extra Trees classifier outperformed the other models in all the rankings.
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Ndayisaba, Gilbert, and Abdullahi D. Ahmed. "CEO remuneration, board composition and firm performance: empirical evidence from Australian listed companies." Corporate Ownership and Control 13, no. 1 (2015): 534–52. http://dx.doi.org/10.22495/cocv13i1c5p2.
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Classical economic theories establishing a relationship between CEO remuneration and firm performance has paid particular attention to solve conflict of interest between managerial team and firm shareholders, by designing an optimum CEO remuneration that motivate executives to work in the best interest of shareholders. Many international and less Australian empirical researches suggest that there is overwhelming evidence that firm performance is strongly linked with CEO remuneration. In this paper, we reassess the association of firm performance and CEO remuneration variables using dynamic econometric models and comprehensive data from Australian Stock Exchange (ASX). We find a positive and strong association between CEO pay of top 200 Australian public listed companies and company performance. Obtained findings are similar to USA, UK and Canada studies results. We further test the effect of board and ownership features on CEO remuneration–performance sensitivity in the top 200 Australian public companies listed on ASX. Specifically, for the period of 2003-2007, our results highlight the importance of ownership structure in influencing remuneration–performance relationship. Monitoring block holders boost the responsiveness of long term incentives (LTI) remuneration to performance, thus straightening shareholder and manager welfares. However, based on a short term investment horizon strategy, insider block holders increase (decrease) the sensitivity of short-term incentives remuneration (long term incentives pay). Surprisingly, for the period 2008-2013, our findings suggest that ownership and board features did not influence significantly CEO pay-performance sensitivities. Finally, we find that larger boards increase (decrease) the responsiveness of CEO’s known remuneration (long term incentives) to performance.
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Hami, Mustapha El, and Ahmed Hefnaoui. "Analysis of Herding Behavior in Moroccan Stock Market." Journal of Economics and Behavioral Studies 11, no. 1(J) (March 10, 2019): 181–90. http://dx.doi.org/10.22610/jebs.v11i1(j).2758.
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Frontier markets, particularly the Moroccan financial market, are characterized by a narrowness of market, inability to absorb erratic price fluctuations and the low liquidity of securities that encourage investors to herd and imitate those who have all the information about the market. A quantitative research approach was used to analyze the existence of herding n Moroccan stock market. The daily data used in this study concerns the period from 04/01/2010 to 29/12/2017 and contains the daily returns of the MASI and a total of 43 traded stocks. Statistical and econometric methods such as multidimensional scaling and Cross-sectional absolute deviation were used. Subsequently, after the regression models were examined, findings indicated that the first stocks with the highest similarity to the index return are BMCE, BCP, IAM, ATW and CMSR, and the first stocks with the highest dissimilarity are PAP, IBC and SNP, This will have to allow investors to choose profitable alternatives and avoid those that present a possible risk. The results did also show the existence of herding in the Moroccan stock market both upward and downward. This finding was supported by the clear existence of a non-linearity between market performance and CSAD measurement, which confirms the prediction of a non-linear inversion relationship between CSAD and ð‘…ð‘š. This could be due to the low level of transparency that prevails in frontier stock exchanges and reduces the quality of their information environment, which leads investors not to react rationally and to draw information from the transactions of their peers.
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Reichert, Bianca, and Adriano Mendonça Souza. "Can the Heston Model Forecast Energy Generation? A Systematic Literature Review." International Journal of Energy Economics and Policy 12, no. 1 (January 19, 2022): 289–95. http://dx.doi.org/10.32479/ijeep.11975.
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The ability to predict the price of stock exchange assets has attracted the attention of economists and physicists around the world, as physical models are useful to predict volatility behaviors. Knowing that volatility is crucial for energy sector planning, the research aim was to investigate whether the Heston pricing model is useful to predict energy generation, trough the steps established by the systematic review protocol. In a corpus of 25 documents, it was possible to identify: lots of financial studies, energy and demography researches; a low level of interaction among universities; the largest number of publications from Australia and China; the most important journal; and the advantages of applying Econophysics models to solve volatility problems. In conclusion, the Heston model can be applied to predict energy generation, since it is a closed-form model and capable of modeling the stochastic volatility, reversing it to the predicted value of average energy generation.
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Ercegovac, Roberto, Mario Pečarić, and Ivica Klinac. "Bank Risk Profiles and Business Model Characteristics." Journal of Central Banking Theory and Practice 9, no. 3 (September 1, 2020): 107–21. http://dx.doi.org/10.2478/jcbtp-2020-0039.
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AbstractCurrent research, especially after the financial crisis, highlights different key determinants of high risk bank profiles. The main aim of this paper is to test, through an empirical model, the impact of various determinants of bank business models on the bank risk with the purpose of enabling early identification of signals of risk and timely application of prudential measures. There are two basic business models for banks: market-oriented wholesale bank business model and client-oriented bank business model. In the wholesale model, a significant share of the assets is comprised of securities in the trade portfolio, the bank is strongly involved in the international financial markets, while on the income side of the bank profile, a large part is related to non-interest income. In the client related business model, classical banking is dominant, which is visible in the high share of loan-related assets, a larger share of self-financing and a larger share of income from interest-operational income in the total income structure of the bank. In the panel analysis of the empirical data, as an indicator of the bank risk profile, the stock market price to stock market price volatility ratio was used with the presumption that the market price and its volatility, with sufficiently liquid shares listed on public stock exchanges, is representative of bank risk. The analysis is conducted on a homogenous example of 20 European banks in the period 2002-2017. Following the econometric analysis, the conclusion is that banks in which business model wholesale characteristics are dominant are more exposed to business risk in periods of market shocks and, as such, represent a danger for the long-term stability of the financial sector.
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Kouki, Ahmed. "IFRS and value relevance." Journal of Applied Accounting Research 19, no. 1 (February 12, 2018): 60–80. http://dx.doi.org/10.1108/jaar-05-2015-0041.
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Purpose The purpose of this paper is to compare the value relevance of accounting information between International Financial Reporting Standards (IFRS)-firms and non-IFRS-firms over five years before mandatory IFRS adoption from 2000 to 2004 and six years after IFRS adoption from 2006 to 2011. Design/methodology/approach The sample includes 1166 firm-year observations that cover firms from three Europeans countries. Different econometric tests, multivariate and panel regressions have been used to verify the hypotheses. Findings In the pre-IFRS period, voluntary IFRS adoption did not improve the value relevance of accounting information. The results indicate that the information contents of non-IFRS-firms in the post-adoption period have higher quality than in the pre-adoption period. The findings show a higher association between accounting information, stock prices and stock returns over both periods, however, the difference in results is not statistically significant. Research limitations/implications This study was not generalized to other stock exchanges that have a significant weight in the European Union, such as the FTSE 100 companies or the SP/MIB. Practical implications This study has some implications for standards setters, firms and practitioners. The transition to IFRS reduces the diversity of accounting systems and institutional conditions (capital market structure, Taxation systems). In addition, mandatory IFRS adoption engendered changes in firms’ business and organizational models that led accountants to improve their educational and training programs. Originality/value This paper contributes to the value relevance as well as IFRS literature by using a sample from code-law origin countries that switched from a debt-oriented system to shareholder-oriented system. It offers a comparative approach between IFRS-firms and Non-IFRS-firms in the pre- and post-adoption periods. In contrast, prior studies focused on the comparison during only one period. This empirical evidence should be of interest to investors and policymakers in other markets.
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Adams, Carol A. "Conceptualising the contemporary corporate value creation process." Accounting, Auditing & Accountability Journal 30, no. 4 (May 15, 2017): 906–31. http://dx.doi.org/10.1108/aaaj-04-2016-2529.
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Purpose The purpose of this paper is to examine and explain the complex interrelationships which influence the ability of firms to create value for their providers of finance and other stakeholders (loosely referred to in practice as “integrated thinking”). In doing so it examines the interrelationships between: environmental, social and governance (ESG) risk; delivering on corporate strategy; non-financial corporate reporting; and, board oversight. Design/methodology/approach Interviews were conducted with board chairs and non-executive directors of large listed companies on the Johannesburg Stock Exchange (where Boards are required to have a social and ethics sub-committee and approve integrated reports which have been mandatory since 2010) and the Australian Stock Exchange (where Board directors’ liability legislation results in Boards being reluctant to adopt integrated reporting which is voluntary). Findings The research finds that contemporary reporting processes, and in particular those set out in the King III Code and the International Integrated Reporting Framework, influence cognitive frames enhancing board oversight and assisting organisations in managing complexity. This results in increased awareness of the impact of ESG issues together with a broader view of value creation despite investor disinterest. Research limitations/implications A number of avenues of research are suggested to further examine the interrelationships identified. Practical implications The research assists the development of practice and policy by articulating and enhancing the understanding of linkages, which loosely fall under the vague practitioner term “integrated thinking”. Social implications The conceptualisation can inform national and global discussions on the appropriateness of corporate reporting and governance models to achieve sustainable development and contribute to the Sustainable Development Goals. Originality/value The paper conceptualises emerging and complex interrelationships. The cross-country comparison allows an assessment of the extent to which different national social contexts with differing governance and reporting frameworks lead to different perspectives on, and approaches to, value creation.
Dissertations / Theses on the topic "Stock exchanges Australia Econometric models"
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O'Grady, Thomas A. "The profitability of technical analysis and stock returns from a traditional and bootstrap perspective : evidence from Australia, Hong Kong, Malaysia and Thailand." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2012. https://ro.ecu.edu.au/theses/506.
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This research questions whether technical trading rules can help predict stock price movements for a sample of stocks selected from four equity markets from the Asia-Pacific region: Australia, Malaysia, Hong Kong and Thailand for the period 1989-2008. The research is split into two stages. Stage-1 of the research tests the predictability of technical trading rules against a buyand- hold strategy. The variable moving average (VMA), fixed moving average (FMA) and the trading range break (TRB) trading rules are applied to this research. Economic predictability of these rules is examined by comparing returns conditional on a trading rule buy (sell) signal against an unconditional buy-and-hold return. Any existence of excess returns can thus be established. This follows with a statistical analysis of returns using a traditional t-test methodology. Traditional statistical tests assume normally distributed returns with independent observations and a non-changing distribution across time. In Stage-2 of this research a bootstrap checks whether features such as non-normality, time-varying moments and serial correlation bias test statistics. The bootstrap involves assumptions regarding the underlying returns generating process (RGP) and allows returns conditional on a trading rule buy (sell) signal from the original stock price series to be compared with conditional returns simulated from four common null models: RW, AR (1), GARCH-M and E-GARCH models. Simulated p-values are calculated in conjunction with simulated distributions and are applied in lieu of the theoretical normal distribution. Given this process it is possible to infer as to whether non-linear dependencies in returns can be captured by any of the three trading rules. Given the null model output standard t-test outcomes of predictability of technical trading rules may be diminished and/or eliminated. Conclusions are drawn as to the predictability and profitability of the VMA, FMA and TRB trading rules when applied to the chosen stock samples. Findings of this research indicate returns conditional on technical trading rules exceed unconditional buy-and-hold returns for all stocks. Thai sample output indicates strong support in favour of the predictability of standard test results supporting the use of technical trading rules. Output for Australia, Hong Kong and Malaysia indicates that previous standard t-test outcomes of predictability may be diminished and/or eliminated. This implies that the underlying RGP may be characterised by underlying features of some/all of the stochastic models.
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Eadie, Edward Norman. "Small resource stock share price behaviour and prediction." Title page, contents and abstract only, 2002. http://web4.library.adelaide.edu.au/theses/09CM/09cme11.pdf.
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Li, Heng. "New econometrics models with applications." HKBU Institutional Repository, 2010. http://repository.hkbu.edu.hk/etd_ra/1165.
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Humpe, Andreas. "Macroeconomic variables and the stock market : an empirical comparison of the US and Japan." Thesis, St Andrews, 2008. http://hdl.handle.net/10023/464.
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Milunovich, George Economics Australian School of Business UNSW. "Modelling and valuing multivariate interdependencies in financial time series." Awarded by:University of New South Wales. School of Economics, 2006. http://handle.unsw.edu.au/1959.4/25162.
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This thesis investigates implications of interdependence between stock market prices in the context of several financial applications including: portfolio selection, tests of market efficiency and measuring the extent of integration among national stock markets. In Chapter 2, I note that volatility spillovers (transmissions of risk) have been found in numerous empirical studies but that no one, to my knowledge, has evaluated their effects in the general portfolio framework. I dynamically forecast two multivariate GARCH models, one that accounts for volatility spillovers and one that does not, and construct optimal mean-variance portfolios using these two alternative models. I show that accounting for volatility spillovers lowers portfolio risk with statistical significance and that risk-averse investors would prefer realised returns from portfolios based on the volatility spillover model. In Chapter 3, I develop a structural MGARCH model that parsimoniously specifies the conditional covariance matrix and provides an identification framework. Using the model to investigate interdependencies between size-sorted portfolios from the Australian Stock Exchange, I gain new insights into the issue of asymmetric dependence. My findings not only confirm the observation that small stocks partially adjust to market-wide news embedded in the returns to large firms but also present evidence that suggests that small firms in Australia fail to even partially adjust (with statistical significance) to large firms??? shocks contemporaneously. All adjustments in small capitalisation stocks occur with a lag. Chapter 4 uses intra-daily data and develops a new method for measuring the extent of stock market integration that takes into account non-instantaneous adjustments to overnight news. This approach establishes the amounts of time that the New York, Tokyo and London stock markets take to fully adjust to overnight news and then uses this This thesis investigates implications of interdependence between stock market prices in the context of several financial applications including: portfolio selection, tests of market efficiency and measuring the extent of integration among national stock markets. In Chapter 2, I note that volatility spillovers (transmissions of risk) have been found in numerous empirical studies but that no one, to my knowledge, has evaluated their effects in the general portfolio framework. I dynamically forecast two multivariate GARCH models, one that accounts for volatility spillovers and one that does not, and construct optimal mean-variance portfolios using these two alternative models. I show that accounting for volatility spillovers lowers portfolio risk with statistical significance and that risk-averse investors would prefer realised returns from portfolios based on the volatility spillover model. In Chapter 3, I develop a structural MGARCH model that parsimoniously specifies the conditional covariance matrix and provides an identification framework. Using the model to investigate interdependencies between size-sorted portfolios from the Australian Stock Exchange, I gain new insights into the issue of asymmetric dependence. My findings not only confirm the observation that small stocks partially adjust to market-wide news embedded in the returns to large firms but also present evidence that suggests that small firms in Australia fail to even partially adjust (with statistical significance) to large firms??? shocks contemporaneously. All adjustments in small capitalisation stocks occur with a lag. Chapter 4 uses intra-daily data and develops a new method for measuring the extent of stock market integration that takes into account non-instantaneous adjustments to overnight news. This approach establishes the amounts of time that the New York, Tokyo and London stock markets take to fully adjust to overnight news and then uses this
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Yoldas, Emre. "Essays on multivariate modeling in financial econometrics." Diss., [Riverside, Calif.] : University of California, Riverside, 2008. http://proquest.umi.com/pqdweb?index=0&did=1663051691&SrchMode=2&sid=2&Fmt=6&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1265225972&clientId=48051.
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Thesis (Ph. D.)--University of California, Riverside, 2008. Thesis (Ph. D.)--University of California, Riverside, 2009.Includes abstract. Title from first page of PDF file (viewed February 3, 2009). Available via ProQuest Digital Dissertations. Includes bibliographical references (p. 135-137). Includes bibliographical references (leaves ). Also issued in print.
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Yang, Wenling. "M-GARCH Hedge Ratios And Hedging Effectiveness In Australian Futures Markets." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2000. https://ro.ecu.edu.au/theses/1530.
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This study deals with the estimation of the optimal hedge ratios using various econometric models. Most of the recent papers have demonstrated that the conventional ordinary least squares (OLS) method of estimating constant hedge ratios is inappropriate, other more complicated models however seem to produce no more efficient hedge ratios. Using daily AOIs and SPI futures on the Australian market, optimal hedge ratios are calculated from four different models: the OLS regression model, the bivariate vector autoaggressive model (BVAR), the error-correction model (ECM) and the multivariate diagonal Vcc GARCH Model. The performance of each hedge ratio is then compared. The hedging effectiveness is measured in terms of ex-post and ex-ante risk-return traHe-off at various forcasting horizons. It is generally found that the GARCH time varying hedge ratios provide the greatest portfolio risk reduction, particularly for longer hedging horizons, but hey so not generate the highest portfolio return.
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Chimhini, Joseline. "International portfolio diversification with special reference to emerging markets." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2001. https://ro.ecu.edu.au/theses/1076.
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This study evaluates the potential benefits that investors obtain from diversifying their portfolios into emerging markets when the time varying behavior of assets is considered. It also tests whether the existing asset-pricing model developed in the context of developed markets, which assumes complete integration, can explain the expected returns in emerging markets and determines the risk of investing in these markets using cross section and time series data. An international capital asset pricing model (ICAPM) with time varying moments developed by Harvey (1991) is adopted. The conditional asset-pricing model, which takes into account prevailing world economic factors, was used. The Generalized Methods of Moments (GMM) is used to test the model. Results indicate that some markets have become more integrated to the world markets than they were in the 1980s and other which failed to open their economies fully have become more segmented. The thesis looks at regional markets of Latin America, Africa Sub-Sahara, Middle East and North Africa, East Europe and Asia. A number of authors have looked at the emerging markets of Asia and Latin America but little is known about the African, Middle East and East Europe markets. The innovation of this research is it looked at the behavior of assets in all regional global markets and sees if they behave differently.
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Starkey, Randall Ashley. "Financial system development and economic growth in selected African countries: evidence from a panel cointegration analysis." Thesis, Rhodes University, 2011. http://hdl.handle.net/10962/d1002713.
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Financial systems (i.e. banking systems and stock markets) can influence economic growth by performing the five key financial functions, namely: mobilising savings, allocating capital, easing of exchange, monitoring and exerting corporate governance, as well as ameliorating risk. The level of development of the financial system is a key determinant of how effectively and efficiently these functions are performed. This study examines the short-run and long-run relationships between financial system development and economic growth for a panel of seven African countries (namely: Egypt, Ivory Coast, Kenya, Morocco, Nigeria, South Africa and Tunisia) covering the period 1988 to 2008. While numerous empirical studies have researched this topic, none of the previous African empirical literature have investigated thjs by using three groups of financial development measures (i.e. overall financial development, banking system development and stock market development measures) as well as employing panel cointegration analyses. The investigation of the long-run finance-growth relationship is conducted using two methods; the Pedroni panel cointegration approach and the Kao panel cointegration technique. The Pedroni panel cointegracion approach is more often applied in empirical research as it has less restrictive deterministic trend assumptions, while the Kao panel cointegration technique is employed in this study for comparison purposes. Furthermore, the short-run linkages bet\veen financial development and economic growth are analysed using the Holtz-Eakin d of (1989) panel Granger causality test. The results of the Pedroni cointegration tests show that there are long-run relationships between overall financial development (measured by LOFD and OFD2) and economic growth, banking system development (measured by LPSC) and economic growth, as well as stock marker development (measured by LMCP and LVLT) and economic growth. In contrast, the Kao test fails to find any cointegration between finance and growth. However, on the balance, findings largely support a conclusion of cointegration between financial development and economic growth since the Pedroni approach is more appropriate for examining cointegration in heterogeneous panels. Estimates of these long-run cointegrating relationships show that all five financial development measures have the expected positive linkages with growth. However, only four of the five financial development measures were found to have significant long-run linkages with growth, as the relationship between LOFD and growth was not found to be significant in the long-run. The panel Granger causality results show that economic growth Granger causes banking system development in the short-run (i.e. there is demand-following finance), irrespective of the measure of banking development used. While there is bi-directional, reciprocal causality between economic growth and both of the measures of overall financial development and one measure of srock market development (i.e. LVLT). Thus, pulicy makers should focus on formulating policy which promotes faster paced economic growth so as to stimulate financial development, while at the same time encourage policy that promotes the balanced expansion of the banking systems and srock markets in ordet to augment economic growth.
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Tongo, Yanga. "Financial sector development and sectoral output growth evidence from South Africa." Thesis, Rhodes University, 2012. http://hdl.handle.net/10962/d1002739.
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The goal of the study is to examine the relationship between financial sector development and output growth in the agricultural, mining and manufacturing sectors in South Africa. The analysis is based on the hypothesis that financial development is essential for promoting production growth in an economy. To test the hypothesis, in the South African context, the vector autoregressive model (VAR) framework and Granger causality test are applied to a quarterly data set starting from 1970 quarter one to 2009 quarter four. The results suggest that financial intermediary development (bank based measure) and stock market development (market based measure) have a positive impact on output growth in the agriculture, mining and manufacturing sectors in South Africa. There is evidence of a one way causal relationship between financial sector development and sectoral output growth. Particularly, there is evidence that financial intermediary development and stock market development causes output growth in the agriculture, mining and manufacturing sectors in South Africa. However, there is no evidence showing causality running from sectoral output growth to financial sector development. The results provide evidence supporting the theory which states that financial development is essential to promote output growth in a country i.e. in our case South Africa. Thus an efficient financial system which promotes efficient channeling of resources towards the agricultural, mining and manufacturing sectors should be built.
Books on the topic "Stock exchanges Australia Econometric models"
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Lo, Andrew W. Econometric models of limit-order executions. Cambridge, MA: National Bureau of Economic Research, 1997.
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Stock market integration and the pricing for regionalism. Kuala Lumpur: University of Malaya Press, 2010.
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Ryan, James. The overreaction hypothesis: An examination in the Irish stock market. Dublin: Dublin City University Business School, 1999.
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Flavin, T. J. Explaining stock market correlation: A gravity model approach. Maynooth, Co. Kildare: National University of Ireland, Maynooth, 2001.
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Anders, Johansson. Empirical essays on financial and real investment behavior. [Göteborg, Sweden: Nationalekonomiska institutionen, Göteborgs universitet, 1998.
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Zhongguo gu piao shi chang feng xian yan jiu. Beijing: Zhongguo ren min da xue chu ban she, 2003.
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Kang, Jun-Koo. The underreaction hypothesis and the new issue puzzle: Evidence from Japan. Cambridge, MA: National Bureau of Economic Research, 1996.
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Campbell, John Y. Trading volume and serial correlation in stock returns. Cambridge, MA: National Bureau of Economic Research, 1992.
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Campbell, John Y. Dispersion and volatility in stock returns: An empirical investigation. Cambridge, MA: National Bureau of Economic Research, 1999.
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Majnoni, Giovanni. Share prices and trading volume: Indications of stock exchange efficiency. Roma: Banca d'Italia, 1996.
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