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4% of Latin America and the Caribbean’s GDP comes from the extractive sector. This figure is equivalent to the amount generated by agriculture in the same region. An effective engagement between governments, companies, and civil society is required to propel sustainable development. With this regional diagnosis of countries rich in natural resources like Argentina, Chile, Colombia, Mexico, Peru, and the Dominican Republic, the IDB seeks to shed light on best practices among stakeholders of the extractive sectors. It focuses in actions of information, dialogues, consultations, collaborations, and partnerships that are driving development in the region. From the findings of the diagnosis, 3 roadmaps were drafted, to guide the stakeholders in strengthening their engagement.
The book provides detailed descriptions, including more than 550 mathematical formulas, for more than 150 trading strategies across a host of asset classes and trading styles. These include stocks, options, fixed income, futures, ETFs, indexes, commodities, foreign exchange, convertibles, structured assets, volatility, real estate, distressed assets, cash, cryptocurrencies, weather, energy, inflation, global macro, infrastructure, and tax arbitrage. Some strategies are based on machine learning algorithms such as artificial neural networks, Bayes, and k-nearest neighbors. The book also includes source code for illustrating out-of-sample backtesting, around 2,000 bibliographic references, and more than 900 glossary, acronym and math definitions. The presentation is intended to be descriptive and pedagogical and of particular interest to finance practitioners, traders, researchers, academics, and business school and finance program students.