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M.Comm. / This study investigates the extent to which South African financial markets are globalised and thus, during the period 1994–2008, integrated with global financial markets. The impact of globalisation on the South African economy is complex. South Africa re-entered the international economy from isolation at a time when the forces of globalisation, especially for developing countries, seemed to gain momentum. The following study focus on equity, foreign exchange and bond markets. The period under study is divided between 1994-2008 and 2000-2008, with the exception of the bond market where the data was challenging to source. Empirical evidence suggests that South African financial markets together with those in emerging economies became increasingly globalised during the period 1994–2008. Analysis finds that South Africa’s equity markets were integrated as common/global factors influenced the markets during the period 1994-2008. According to the findings, SA was even more integrated than the average emerging economies in our sample as global/common factors influenced more of SA equity returns than in emerging economies. However, in general, developed economies were more globalised in both periods under study. However, analysis indicates that common factors play a larger role in determining the fluctuations in the foreign exchange market rather than in equity markets. This implies that foreign exchange markets are more globalised and integrated than equity markets. Global factors only determined 48% of the movement South Africa’s currency during the period 1994-2008, while global factors were more significant in the movement of developed and emerging economies’ currencies during the same period. However, SA foreign exchange market’s integration into the global markets increased with 2000-2008 variance share increasing to 0.97, implying that global factor were responsible the 97% of the variation in the exchange rate – higher than the average variance share recorded for developed and emerging economies. Finally, results for the bond markets show that SA bond market was also closely integrated with global markets although the level of integration was less than that recorded in the foreign exchange rate markets during the 2000-2008.

We prove a version of the Fundamental Theorem of Asset Pricing, which applies to Kabanov's approach to foreign exchange markets under transaction costs. The financial market is modelled by a d x d matrix-valued stochastic process Sigma_t_t=0^T specifying the mutual bid and ask prices between d assets. We introduce the notion of ``robust no arbitrage", which is a version of the no arbitrage concept, robust with respect to small changes of the bid ask spreads of Sigma_t_t=0^T. Dually, we interpret a concept used by Kabanov and his co-authors as "strictly consistent price systems". We show that this concept extends the notion of equivalent martingale measures, playing a well-known role in the frictionless case, to the present setting of bid-ask processes Sigma_t_t=0^T. The main theorem states that the bid-ask process Sigma_t_t=0^T satisfies the robust no arbitrage condition if it admits a strictly consistent pricing system. This result extends the theorems of Harrison-Pliska and Dalang-Morton-Willinger to the present setting, and also generalizes previous results obtained by Kabanov, Rasonyi and Stricker. An example of a 5-times-5-dimensional process Sigma_t_t=0^2 shows that, in this theorem, the robust no arbitrage condition cannot be replaced by the so-called strict no arbitrage condition, thus answering negatively a question raised by Kabanov, Rasonyi and Stricker. (author's abstract) / Series: Working Papers SFB "Adaptive Information Systems and Modelling in Economics and Management Science"

This study explores the dynamics between stock price and exchange rates through the cointegration methodology proposed by Herwartz and Luetkepohl (2011). Moreover, it consider the vector error correction model (VECM) with conditional heteroscedastic variance. And we use a feasible generalized least squares (FGLS) estimator to estimate the cointegrating vector. This paper analysis some Asian countries' data from 1997 to 2010. The evidence result suggests that Malaysia and Singapor's stock price and exchange rate are positively related. But Hong Kong's stock price is negatively related to exchange rate.

Between 1993 and 2016, the U.S. exchange traded fund (ETF) market has proliferated from one product worth $6.5 million USD to 1,455 products worth over $2 trillion USD. Despite its dramatic growth, the ETF market has yet to be the subject of sociological inquiry even though fields such as the social studies of finance have begun examining the origins of index derivatives (Millo 2007), options (MacKenzie 2006), hedge funds (Hardie and MacKenzie 2007), and foreign exchange markets (Knorr Cetina and Bruegger 2002). Thus, the purpose of this dissertation is to provide the first historical sociology of ETF innovation in the United States, using an approach inspired by the social studies of finance. This project empirically traces the emergence of the ETF by compiling an account of precursory strategies, concept development, regulatory negotiations, and early product marketing. The concept of agencement is used to frame the historical narrative of the ETF as a product of two distinct assemblages that formed in the U.S. between 1970 and 2000: first, the socio-technical integration between humans and their technologies that affected trading strategies, and second, the collaborative relationships that were formed between innovators and regulators. The mixed qualitative research consists of 36 interviews triangulated with archival records, documents sourced through Freedom of Information Act requests, private collections, and government files. Concluding analysis suggests that strategies foreshadowing the ETF began to emerge as early as the 1970s, and innovator-regulator collaborations were integral to early product qualification - a process not yet explored in literature on financial regulation.

En utilisant des données haute-fréquence inédites, cette thèse étudie trois types de regroupements (“clusters”) présents dans le marché des changes: la concentration d'ordres sur certains prix, la concentration des transactions dans le temps et l'existence de groupes d'investisseurs prenant les mêmes décisions. Nous commençons par étudier les propriétés statistiques du carnet d'ordres EBS pour les paires de devises EUR/USD et USD/JPY et l'impact d'une réduction de la taille du tick sur sa dynamique. Une grande part des ordres limites est encore placée sur les anciens prix autorisés, entraînant l'apparition de prix-barrières, où figurent les meilleures limites la plupart du temps. Cet effet de congestion se retrouve dans la forme moyenne du carnet où des pics sont présents aux distances entières. Nous montrons que cette concentration des prix est causée par les traders manuels qui se refusent d’utiliser la nouvelle résolution de prix. Les traders automatiques prennent facilement la priorité, en postant des ordres limites un tick devant les pics de volume.Nous soulevons ensuite la question de l'aptitude des processus de Hawkes à rendre compte de la dynamique du marché. Nous analysons la précision de tels processus à mesure que l'intervalle de calibration est augmenté. Différent noyaux construits à partir de sommes d'exponentielles sont systématiquement comparés. Le marché FX qui ne ferme jamais est particulièrement adapté pour notre but, car il permet d’éviter les complications dues à la fermeture nocturne des marchés actions. Nous trouvons que la modélisation est valide selon les trois tests statistiques, si un noyau à deux exponentielles est utilisé pour fitter une heure, et deux ou trois pour une journée complète. Sur de plus longues périodes la modélisation est systématiquement rejetée par les tests à cause de la non-stationnarité du processus endogène. Les échelles de temps d'auto-excitation estimées sont relativement courtes et le facteur d'endogénéité est élevé mais sous-critique autour de 0.8. La majorité des modèles à agents suppose implicitement que les agents interagissent à travers du prix des actifs et des volumes échangés. Certains utilisent explicitement un réseau d'interaction entre traders, sur lequel des rumeurs se propagent, d'autres, un réseau qui représente des groupes prenant des décisions communes. Contrairement à d'autres types de données, de tels réseaux, s'ils existent, sont nécessairement implicites, ce qui rend leur détection compliquée. Nous étudions les transactions des clients de deux fournisseur de liquidités sur plusieurs années. En supposant que les liens entre agents sont déterminés par la synchronisation de leur activité ou inactivité, nous montrons que des réseaux d'interactions existent. De plus, nous trouvons que l'activité de certains agents entraîne systématiquement l’activité d'autres agents, définissant ainsi des relations de type “lead-lag” entre les agents. Cela implique que le flux des clients est prévisible, ce que nous vérifions à l'aide d'une méthode sophistiquée d'apprentissage statistique. / The aim of this thesis is to study three types of clustering in foreign exchange markets, namely in price, trades arrivals and investors decisions. We investigate the statistical properties of the EBS order book for the EUR/USD and USD/JPY currency pairs and the impact of a ten-fold tick size reduction on its dynamics. A large fraction of limit orders are still placed right at or halfway between the old allowed prices. This generates price barriers where the best quotes lie for much of the time, which causes the emergence of distinct peaks in the average shape of the book at round distances. Furthermore, we argue that this clustering is mainly due to manual traders who remained set to the old price resolution. Automatic traders easily take price priority by submitting limit orders one tick ahead of clusters, as shown by the prominence of buy (sell) limit orders posted with rightmost digit one (nine).The clustering of trades arrivals is well-known in financial markets and Hawkes processes are particularly suited to describe this phenomenon. We raise the question of what part of market dynamics Hawkes processes are able to account for exactly. We document the accuracy of such processes as one varies the time interval of calibration and compare the performance of various types of kernels made up of sums of exponentials. Because of their around-the-clock opening times, FX markets are ideally suited to our aim as they allow us to avoid the complications of the long daily overnight closures of equity markets. One can achieve statistical significance according to three simultaneous tests provided that one uses kernels with two exponentials for fitting an hour at a time, and two or three exponentials for full days, while longer periods could not be fitted within statistical satisfaction because of the non-stationarity of the endogenous process. Fitted timescales are relatively short and endogeneity factor is high but sub-critical at about 0.8.Most agent-based models of financial markets implicitly assume that the agents interact through asset prices and exchanged volumes. Some of them add an explicit trader-trader interaction network on which rumors propagate or that encode groups that take common decisions. Contrarily to other types of data, such networks, if they exist, are necessarily implicit, which makes their determination a more challenging task. We analyze transaction data of all the clients of two liquidity providers, encompassing several years of trading. By assuming that the links between agents are determined by systematic simultaneous activity or inactivity, we show that interaction networks do exist. In addition, we find that the (in)activity of some agents systematically triggers the (in)activity of other traders, defining lead-lag relationships between the agents. This implies that the global investment flux is predictable, which we check by using sophisticated machine learning methods.

Submitted by Raphael Maaz (rfmaaz@gmail.com) on 2018-08-17T04:37:24Z No. of bitstreams: 1 Dissertation_20180817_RFM.pdf: 420668 bytes, checksum: 15c23fd991dfb5a7d5edff23f64e01b7 (MD5) / Rejected by Thais Oliveira (thais.oliveira@fgv.br), reason: Raphael, boa tarde! Para que possamos aprovar seu trabalho, a única alteração que deve ser feira é retirar o acento do "GETULIO" (nome da Escola). Por gentileza, alterar e submeter novamente. Qualquer dúvida, entre em contato. Thais Oliveira mestradoprofissional@fgv.br/ 3799-7764 on 2018-08-20T20:41:55Z (GMT) / Submitted by Raphael Maaz (rfmaaz@gmail.com) on 2018-08-21T03:59:50Z No. of bitstreams: 1 Dissertation_20180821_RFM.pdf: 420299 bytes, checksum: 16fbfa33cab672015314b8f39f931c77 (MD5) / Approved for entry into archive by Thais Oliveira (thais.oliveira@fgv.br) on 2018-08-21T23:50:47Z (GMT) No. of bitstreams: 1 Dissertation_20180821_RFM.pdf: 420299 bytes, checksum: 16fbfa33cab672015314b8f39f931c77 (MD5) / Approved for entry into archive by Suzane Guimarães (suzane.guimaraes@fgv.br) on 2018-08-22T13:12:56Z (GMT) No. of bitstreams: 1 Dissertation_20180821_RFM.pdf: 420299 bytes, checksum: 16fbfa33cab672015314b8f39f931c77 (MD5) / Made available in DSpace on 2018-08-22T13:12:56Z (GMT). No. of bitstreams: 1 Dissertation_20180821_RFM.pdf: 420299 bytes, checksum: 16fbfa33cab672015314b8f39f931c77 (MD5) Previous issue date: 2018-08-10 / O presente trabalho apresenta um estudo sobre catacterístitcas importantes da utilização de estratégias de negociações algorítmicas de alta frequência (HFT) por investidores que realizam operações com contratos futuros de taxa de câmbio em reais por dólar comercial no mercado brasileiro, tais como o nível de atividade de operadores que empregam este tipo de recurso e seus principais fatores de influência, a rentabilidade de participantes de instituições que adotam esta prática e a existência de padrões nas estratégias adotadas por negociadores algoritmicos. Dentre as conclusões obtidas, verificou-se que investidores que utilizam estratégias de HFT possuem uma participação de aproximadamente 70% no mercado de contratos futuros de dólar comercial. Além disso, o nível de participação é influenciado pela volatilidade de mercado e da taxa de câmbio futura, bem como o número de contratos em aberto, resultando em lucros diários de aproximadamente R$ 18 mil. Finalmente, verifica-se a existência de elevados níveis de correlação entre as estratégias utilizadas por negociadores algorítmicos e comportamento de manada, bem como a utilização de mecanismos de retroalimentação positiva. / This work presents a study about important characteristics of the adoption of high-frequency trading (HFT) strategies by investors that perform operations with USDBRL futures contracts on the Brazilian Foreign Exchange markets, such as the market share and the profits of the participants that resort to such strategies, as well as its main determinants, and the existence of patterns on the strategies adopted by high-frequency traders. It has been determined that investors that use HFT strategies possess 70% of market share on US dollar futures contracts and that its participation is influenced by markets and futures exchange rates volatility level, as well as its open interest, making an average profit of roughly 18 thousand Brazilian reals per day. Finally, it has been possible to determine the existence of high levels of correlation between the strategies adopted by high-frequency traders, as well as herding and the usage of positive feedback strategies.

The master thesis deals with proposal of automated trading system and its implementation in the Foreign exchange market environment. This system will be developed as investment model based on the analyzes performed and then tested on real data to achieve maximum stability and profit.

This thesis deals with a complex analysis and prediction of foreign exchange markets. It uses advanced artificial intelligence methods, namely neural networks and chaos theory. It introduces unconventional approaches and methods of each of these areas, compares them and uses on a real problem. The core of this thesis is a comparison of several prediction models based on completely different principles and underlying theories. The outcome is then a selection of the most appropriate prediction model called NAR + H. The model is evaluated according to several criteria, the pros and cons are discussed and approximate expected profitability and risk are calculated. All analytical, prediction and partial algorithms are implemented in Matlab development environment and form a unified library of all used functions and scripts. It also may be considered as a secondary main outcome of the thesis.