محصولات
Making a Market for Acts of God: The Practice of Risk Trading in the Global Reinsurance Industry - Original PDF
Making a Market for Acts of God: The Practice of Risk Trading in the Global Reinsurance Industry - Original PDF
نویسندگان: Paula Jarzabkowski, Rebecca Bednarek, Paul Spee خلاصه: Reinsurance is a financial market that trades in the risk of unpredictable and devastating disasters - such as Hurricane Katrina, the Tohoku earthquake and tsunami, and the terrorist attacks on the World Trade Centre. Such disasters are increasing in both frequency and severity, with the cost of their losses mounting rapidly. Reinsurance insures insurance companies, enabling them to pay claims arising from these losses. It is thus a market mechanism that is a critical part of the social and economic safety net, helping to pick up the pieces after disasters. Yet, how is the risk of such disasters calculated and traded in a global market? This book brings to life the reinsurance market through vivid real-life tales that draw from an ethnographic, "fly-on-the-wall" study of the global reinsurance industry over three annual cycles. The authors shadowed underwriters around the world as they traded risks through multiple disasters. For instance, this book takes readers into the desperate hours of pricing Japanese risks during March 2011, while the devastating aftermath of the Tohoku earthquake is unfolding. To show how the market works, the book offers authentic tales gathered from observations of reinsurers in Bermuda, Lloyd's of London, Continental Europe and SE Asia as they evaluate, price and compete for different risks as part of their everyday practice. Understanding how this market for disasters works has never been more critical given the impact of climate change and increased global connectivity, where a flood in one country can trigger losses to supply chains around the world. The authors develop a novel concept of how global markets work, which advances scholarship and challenges current thinking about how financial markets trade in intangible assets such as risk. This book will be useful to readers interested in markets for disasters, insurance, reinsurance and financial markets, and academics interested in the practice of financial markets specifically or the practice of strategy and organizations generally.
Kase on Technical Analysis Workbook + Video Course: Trading and Forecasting - Original PDF
Kase on Technical Analysis Workbook + Video Course: Trading and Forecasting - Original PDF
نویسندگان: Cynthia Kase خلاصه: Learn all you need to know about trading and forecasting with technical analysis Kase on Technical Analysis is the ultimate guide to forecasting and trading technically, a comprehensive "all you need to know" review of the topics. Award-winning instructor, Cynthia A. Kase, CMT1, MFTA2, engineer, veteran energy trader, and one of the world's preeminent market technicians, captures her 30 plus years of experience in thirteen half-hour sessions, for more than six in-depth hours on technical analysis essentials. Viewers will develop a better understanding of charting and technical indicators, and get an inside look at cutting edge material based on Kase's own unique indicators and innovative approaches to trading and forecasting. The video describes key techniques for interpreting market behavior and developing a technical approach to trading. The workbook provides practice exercises that reinforce the concepts learned as Kase guides viewers through the various methodologies and their real-life applications to successful market interactions. Technical analysis is based on the premise that the behavior of a market reveals all that is known about it. Price action, volatility and rates of price changes may be harnessed by Kase's techniques to forecast future prices, identify low risk, high reward trading opportunities, and to cut losses while letting profits run. Kase on Technical Analysis shows how it's done, providing clear and wide-ranging instruction and expert insight that helps viewers to: * Build a foundational understanding of charting and technical indicators, including an introduction to latest techniques * Learn the most important technical methods for interpreting and analyzing market behavior * Effectively apply technical analysis to trading strategy, risk management and market forecasting * Formulate entry and exit strategies by using pattern recognition and properly applying technical indicators Technical analysis is a core discipline used by successful traders to assess market conditions and time trades. This package covers the aspects of technical analysis needed for intelligent interaction with the markets, from theory to practice, with concrete guidance toward real-world application. For traders wanting to "come up to speed" on technical analysis, for those wanting a refresher on the topic, as well as for seasoned traders looking for new ideas, Kase on Technical Analysis provides deep insight from a global authority. 1 Chartered Market Technician awarded by the Market Technicians Association 2 Master of Financial Technical Analysis awarded by the International Federation of Technical Analysts
Quantitative trading - algorithms, analytics, data, models, optimization - Original PDF
Quantitative trading - algorithms, analytics, data, models, optimization - Original PDF
نویسندگان: Wong, Samuel Po Shing خلاصه: This chapter gives an overview and some historical background of quantita- tive trading, the title of this book. It begins with a historical review of the evolution of the trading infrastructure, from verbal communication and hand signaling in an exchange to electronic platforms, in Section 1.1. It then gives in Section 1.2 an introduction to quantitative trading strategies and in par- ticular, the time-scales associated with different classes of strategies. In this connection, we give in Section 1.3 a brief historical account of the paradigm shift from the “efficient market hypothesis” (EMH) to arbitrage opportuni- ties via quantitative trading. In Section 1.4, we describe “quant funds” that use these quantitative trading strategies, and also the closely related mutual funds and hedge funds. An overview of the algorithms, analytics, data, models, and optimization methods — the subtitle of this book — used in quantita- tive trading is given in Section 1.5. Section 1.6 discusses the interdisciplinary background of the book and the anticipated diversity of its target audience. It also provides suggestions on how the book can be used by different groups of readers. Supplements and problems are given in Section 1.7.
Quantitative trading with r: understanding mathematical and computational tools from a ... quant's perspective - Original PDF
Quantitative trading with r: understanding mathematical and computational tools from a ... quant's perspective - Original PDF
نویسندگان: Georgakopoulos, H خلاصه: The primary tools that quants and traders rely on to perform their daily activi- ties include intuition, data, computer hardware, computer software, mathematics, and finance. They utilize these tools in ingenious ways as a means to an end. The end, of course, is the generation of consistent profits in the financial markets. Many traders have done well for themselves by relying on intuition alone. But intuition alone, on average, will not yield superior results. A tool chest of sorts is required in order to maximize the quant/trader’s chances of producing consistent and favor- able outcomes. A programming language is one such tool. In this book, we will learn how to wield the R programming language for the purposes of manipulating data, performing math operations, automating workflows, displaying informative visualizations, creating reproducible results, and doing lots of other cool stuff. The R language R [88] is an open-source scripting language that has become very popular among statisticians, data science practitioners, and academics over the years. It is a func- tional programming language by nature, but it also supports the object oriented and imperative programming paradigms. 1 In some sense, R is both a program- ming language as well as a development framework. The framework has support for some advanced graphing capabilities and provides access to multiple state-of-the- art statistical packages. The language itself supports conditional statements, loops, functions, classes, and most of the other constructs with which VBA and C++ users are familiar. The plethora of contributed packages by third parties, a solid user-base, and a strong open-source community are some other key strengths of R. The R system can be divided into two conceptual parts:
Matlab Trading Toolbox documentation - Original PDF
Matlab Trading Toolbox documentation - Original PDF
نویسندگان: User's Guide خلاصه: 1 Getting Started 1-2 Trading Toolbox Product Description Access prices, analyze transaction costs, and send orders to trading systems Trading Toolbox provides functions for analyzing transaction costs, accessing trade and quote pricing data, defining order types, and sending orders to financial trading markets. The toolbox lets you integrate streaming and event-based data into MATLAB®, enabling you to develop financial trading strategies and algorithms that analyze and react to the market in real time. You can build algorithmic or automated trading strategies that work across multiple asset classes, instrument types, and trading markets while integrating with industry-standard or proprietary trade execution platforms. With Trading Toolbox you can analyze and estimate transaction costs before placing an order, as well as attribute costs post-trade. You can analyze transaction costs associated with market impact, timing, liquidity, and price appreciation, and use cost curves to minimize transaction costs for single assets or for a portfolio of assets. Trading Toolbox lets you access real-time streams of tradable instrument data, including quotes, volumes, trades, market depth, and instrument metadata. You can define order types and specify order routing and filling procedures. Key Features • Market impact modeling and cost curve generation using Kissell Research Group models • Trading cost, sensitivity, and post-trade execution analysis • Access to current, intraday, event-based, and real-time tradable instrument data • Data filtering by instrument and exchange • Definable order types and execution instructions • Access to FIX-compliant trading systems using FIX Flyer™ Engine • Support for Bloomberg® EMSX, Trading Technologies® X_TRADER®, CQG® Integrated Client, and Interactive Brokers® TWS
Step by Step Trading: The Essentials of Computerized Technical Trading - Original PDF
Step by Step Trading: The Essentials of Computerized Technical Trading - Original PDF
نویسندگان: Elder-Step, Alexander خلاصه: Overview: This brief book will introduce you to self-organization and risk management, but zoom into technical trading tools. We’ll cover indicators, several trading systems, setting profit targets and stops, and much more.
Elementary Financial Derivatives (A Guide to Trading and Valuation with Applications) - Original PDF
Elementary Financial Derivatives (A Guide to Trading and Valuation with Applications) - Original PDF
نویسندگان: Jana Sacks Ph.D. خلاصه: DERIVATIVE INSTRUMENTS: CONCEPTS AND DEFINITIONS 1.1 KEY DERIVATIVE INSTRUMENTS DEFINITIONS Forwards and Futures A forward contract is a contract between two parties. It states that one of the two parties is to buy something from the other at a later date at a price agreed upon today. A futures contract is also a contract between two parties. One party is bound to buy something from the other at a later date at a price agreed upon today, subject to a daily settlement of gains and losses and guaranteed against the risk that either party might default
Artificial Intelligence in Financial Markets: Cutting Edge Applications for Risk Management, Portfolio Optimization and Economics - Original PDF
Artificial Intelligence in Financial Markets: Cutting Edge Applications for Risk Management, Portfolio Optimization and Economics - Original PDF
نویسندگان: Christian L. Dunis, Peter W. Middleton, Andreas Karathanasopolous, Konstantinos Theofilatos (eds.) خلاصه: As technology advancement has increased, so to have computational applications for forecasting, modelling and trading financial markets and information, and practitioners are finding ever more complex solutions to financial challenges. Neural networking is a highly effective, trainable algorithmic approach which emulates certain aspects of human brain functions, and is used extensively in financial forecasting allowing for quick investment decision making. This book presents the most cutting-edge artificial intelligence (AI)/neural networking applications for markets, assets and other areas of finance. Split into four sections, the book first explores time series analysis for forecasting and trading across a range of assets, including derivatives, exchange traded funds, debt and equity instruments. This section will focus on pattern recognition, market timing models, forecasting and trading of financial time series. Section II provides insights into macro and microeconomics and how AI techniques could be used to better understand and predict economic variables. Section III focuses on corporate finance and credit analysis providing an insight into corporate structures and credit, and establishing a relationship between financial statement analysis and the influence of various financial scenarios. Section IV focuses on portfolio management, exploring applications for portfolio theory, asset allocation and optimization. This book also provides some of the latest research in the field of artificial intelligence and finance, and provides in-depth analysis and highly applicable tools and techniques for practitioners and researchers in this field.
Automated Trading with R: Quantitative Research and Platform Development - Original PDF
Automated Trading with R: Quantitative Research and Platform Development - Original PDF
نویسندگان: Chris Conlan (auth.) خلاصه: This book explains the broad topic of automated trading, starting with its mathematics and moving to its computation and execution. Readers will gain a unique insight into the mechanics and computational considerations taken in building a backtester, strategy optimizer, and fully functional trading platform. Automated Trading with R provides automated traders with all the tools they need to trade algorithmically with their existing brokerage, from data management, to strategy optimization, to order execution, using free and publically available data. If your brokerage’s API is supported, the source code is plug-and-play. The platform built in this book can serve as a complete replacement for commercially available platforms used by retail traders and small funds. Software components are strictly decoupled and easily scalable, providing opportunity to substitute any data source, trading algorithm, or brokerage. The book’s three objectives are: To provide a flexible alternative to common strategy automation frameworks, like Tradestation, Metatrader, and CQG, to small funds and retail traders. To offer an understanding the internal mechanisms of an automated trading system. To standardize discussion and notation of real-world strategy optimization problems. What you’ll learn Programming an automated strategy in R gives the trader access to R and its package library for optimizing strategies, generating real-time trading decisions, and minimizing computation time. How to best simulate strategy performance in their specific use case to derive accurate performance estimates. Important machine-learning criteria for statistical validity in the context of time-series. An understanding of critical real-world variables pertaining to portfolio management and performance assessment, including latency, drawdowns, varying trade size, portfolio growth, and penalization of unused capital. Who This Book Is For This book is for traders/practitioners at the retail or small fund level with at least an undergraduate background in finance or computer science. Graduate level finance or data science students.
Technical Analysis and Chart Interpretations: A Comprehensive Guide to Understanding Established Trading Tactics for Ultimate Profit - Original PDF
Technical Analysis and Chart Interpretations: A Comprehensive Guide to Understanding Established Trading Tactics for Ultimate Profit - Original PDF
نویسندگان: Ed Ponsi خلاصه: Ed Ponsi's straightforward guide to understanding technical analysis Technical Analysis and Chart Interpretations delivers simple explanations and easy-to-understand techniques that demystify the technical analysis process. In his usual straightforward style, bestselling author Ed Ponsi guides you through the twists and turns to show you what really matters when it comes to making money. Whether you trade stocks, currencies, or commodities, you'll develop invaluable skills as you master difficult concepts and the tools of the trade. Technical analysis translates to any form of trading, and this book delivers clear, jargon-free guidance toward interpreting the various charts you'll see in the field. Technical analysis can be confusing. Volatility, cycles, Elliot waves, Fibonacci, trends—it's easy to get lost, and most of the available literature is incomprehensible to all but the experts. This book is different—it's technical analysis for the rest of us. You'll see through the language to understand the underlying concepts, and how to apply them correctly. Learn what true technical analysis entails Discover the tools that simplify accurate analysis Master the tactics and strategies used by the pros Develop a valuable trading skill that transcends markets Simply recognizing the vocabulary isn't nearly enough, and a passing acquaintance with the topic is guaranteed to do more harm than good. When technical analysis methods are used incorrectly, they are ineffective at best, and actively destructive to your bottom line at worst. Technical Analysis and Chart Interpretations cuts through the confusion to give you a firm understanding and the skills to apply it correctly.

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