Trading Environments

Download or read book Trading Environments written by Gordon M. Winder and published by Routledge. This book was released on 2015-12-07 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume examines dynamic interactions between the calculative and speculative practices of commerce and the fruitfulness, variability, materiality, liveliness and risks of nature. It does so in diverse environments caught up in new trading relationships forged on and through frontiers for agriculture, forestry, mining and fishing. Historical resource frontiers are understood in terms of commercial knowledge systems organized as projects to transform landscapes and environments. The book asks: how were environments traded, and with what environmental and landscape consequences? How have environments been engineered, standardized and transformed within past trading systems? What have been the successes and failures of economic knowledge in dealing with resource production in complex environments? It considers cases from northern Europe, North and South America, Central Africa and New Zealand in the period between 1750 and 1990, and the contributors reflect on the effects of transnational commodity chains, competing economic knowledge systems, environmental ignorance and learning, and resource exploitation. In each case they identify tensions, blind spots, and environmental learning that plagued commercial projects on frontiers.

Download or read book Environmental Commodities Markets and Emissions Trading written by Blas Luis Pérez Henríquez and published by Routledge. This book was released on 2013 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Market-based solutions to environmental problems offer great promise, but require complex public policies that take into account the many institutional factors necessary for the market to work and that guard against the social forces that can derail good public policies. Using insights about markets from the new institutional economics, this book sheds light on the institutional history of the emissions trading concept as it has evolved across different contexts. It makes accessible the policy design and practical implementation aspects of a key tool for fighting climate change: emissions trading systems (ETS) for environmental control. Blas Luis Pérez Henríquez analyzes past market-based environmental programs to extract lessons for the future of ETS. He follows the development of the emissions trading concept as it evolved in the United States and was later applied in the multinational European Emissions Trading System and in sub-national programs in the United States such as the Regional Greenhouse Gas Initiative (RGGI) and California's ETS. This ex-post evaluation of an ETS as it evolves in real time in the real world provides a valuable supplement to what is already known from theoretical arguments and simulation studies about the advantages and disadvantages of the market strategy. Political cycles and political debate over the use of markets for environmental control make any form of climate policy extremely contentious. Pérez Henríquez argues that, despite ideological disagreements, the ETS approach, or, more popularly, 'cap-and-trade' policy design, remains the best hope for a cost-effective policy to reduce GHG emissions around the world.

Download or read book Trading Zones in Environmental Education written by Marianne E. Krasny and published by Peter Lang Incorporated, International Academic Publishers. This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Environmental educators often adhere to a relatively narrow theoretical paradigm focusing on changing attitudes and knowledge, which are assumed to foster pro-environmental behaviors, which, in turn, leads to better environmental quality. This book takes a different approach to trying to understand how environmental education might influence people, their communities, and the environment. The authors view changing environmental behaviors as a «wicked» problem, that is, a problem that does not readily lend itself to solutions using existing disciplinary approaches. The book as a whole opens up new avenues for pursuing environmental education research and practice and thus expands the conversation around environmental education, behaviors, and quality. Through developing transdisciplinary research questions and conceptual paradigms, this book also suggests new practices beyond those currently used in environmental education, natural resources management, and other environmental fields.

Download or read book Day Trading written by Justin Kuepper and published by Sourcebooks, Inc.. This book was released on 2015-04-10 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: All You'll Ever Need to Trade from Home When most people hear the term "day trader," they imagine the stock market floor packed with people yelling 'Buy' and 'Sell' - or someone who went for broke and ended up just that. These days, investing isn't just for the brilliant or the desperate—it's a smart and necessary move to ensure financial wellbeing. To the newcomer, day trading can be a confusing process: where do you begin, and how can you approach trading in a careful yet effective way? With Day Trading you'll get the basics, then: Learn the Truth About Trading Understand The Psychology of Trading Master Charting and Pattern-recognition Study Trading Options Establish Trading Strategies & Money Management Day Trading will let you make the most out of the free market from the comfort of your own computer.

Download or read book Machine Learning for Algorithmic Trading written by Stefan Jansen and published by Packt Publishing Ltd. This book was released on 2020-07-31 with total page 822 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio. Purchase of the print or Kindle book includes a free eBook in the PDF format. Key FeaturesDesign, train, and evaluate machine learning algorithms that underpin automated trading strategiesCreate a research and strategy development process to apply predictive modeling to trading decisionsLeverage NLP and deep learning to extract tradeable signals from market and alternative dataBook Description The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This revised and expanded second edition enables you to build and evaluate sophisticated supervised, unsupervised, and reinforcement learning models. This book introduces end-to-end machine learning for the trading workflow, from the idea and feature engineering to model optimization, strategy design, and backtesting. It illustrates this by using examples ranging from linear models and tree-based ensembles to deep-learning techniques from cutting edge research. This edition shows how to work with market, fundamental, and alternative data, such as tick data, minute and daily bars, SEC filings, earnings call transcripts, financial news, or satellite images to generate tradeable signals. It illustrates how to engineer financial features or alpha factors that enable an ML model to predict returns from price data for US and international stocks and ETFs. It also shows how to assess the signal content of new features using Alphalens and SHAP values and includes a new appendix with over one hundred alpha factor examples. By the end, you will be proficient in translating ML model predictions into a trading strategy that operates at daily or intraday horizons, and in evaluating its performance. What you will learnLeverage market, fundamental, and alternative text and image dataResearch and evaluate alpha factors using statistics, Alphalens, and SHAP valuesImplement machine learning techniques to solve investment and trading problemsBacktest and evaluate trading strategies based on machine learning using Zipline and BacktraderOptimize portfolio risk and performance analysis using pandas, NumPy, and pyfolioCreate a pairs trading strategy based on cointegration for US equities and ETFsTrain a gradient boosting model to predict intraday returns using AlgoSeek's high-quality trades and quotes dataWho this book is for If you are a data analyst, data scientist, Python developer, investment analyst, or portfolio manager interested in getting hands-on machine learning knowledge for trading, this book is for you. This book is for you if you want to learn how to extract value from a diverse set of data sources using machine learning to design your own systematic trading strategies. Some understanding of Python and machine learning techniques is required.

Download or read book Emissions Trading written by Thomas H. Tietenberg and published by Routledge. This book was released on 2010-09-30 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: First published in 1985, Emissions Trading was a comprehensive review of the first large-scale attempt to use economic incentives in environmental policy in the U.S. and of the empirical and theoretical research on which this approach is based. Since its publication it has consistently been one of the most widely cited works in the tradable permits literature. The second edition of this classic study of pollution reform considers how the use of transferable permits to control pollution has evolved, looks at how these programs have been implemented in the U.S. and internationally, and offers an objective evaluation of the resulting successes, failures, and lessons learned over the last twenty-five years.

Download or read book Systematic Trading written by Robert Carver and published by Harriman House Limited. This book was released on 2015-09-14 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is not just another book with yet another trading system. This is a complete guide to developing your own systems to help you make and execute trading and investing decisions. It is intended for everyone who wishes to systematise their financial decision making, either completely or to some degree. Author Robert Carver draws on financial theory, his experience managing systematic hedge fund strategies and his own in-depth research to explain why systematic trading makes sense and demonstrates how it can be done safely and profitably. Every aspect, from creating trading rules to position sizing, is thoroughly explained. The framework described here can be used with all assets, including equities, bonds, forex and commodities. There is no magic formula that will guarantee success, but cutting out simple mistakes will improve your performance. You'll learn how to avoid common pitfalls such as over-complicating your strategy, being too optimistic about likely returns, taking excessive risks and trading too frequently. Important features include: - The theory behind systematic trading: why and when it works, and when it doesn't. - Simple and effective ways to design effective strategies. - A complete position management framework which can be adapted for your needs. - How fully systematic traders can create or adapt trading rules to forecast prices. - Making discretionary trading decisions within a systematic framework for position management. - Why traditional long only investors should use systems to ensure proper diversification, and avoid costly and unnecessary portfolio churn. - Adapting strategies depending on the cost of trading and how much capital is being used. - Practical examples from UK, US and international markets showing how the framework can be used. Systematic Trading is detailed, comprehensive and full of practical advice. It provides a unique new approach to system development and a must for anyone considering using systems to make some, or all, of their investment decisions.