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会员免费 - Mastering.R.for.Quantitative.Finance.178355207Use R to optimize your trading strategy and build up your own risk management system About This Book Learn to manipulate, visualize, and analyze a wide range of financial data with the help of built-in functions and programming in R Understand the concepts of financial engineering and create trading strategies for complex financial instruments Explore R for asset and liability management and capital adequacy modeling Who This Book Is For This book is intended for those who want to learn how to use R's capabilities to build models in quantitative finance at a more advanced level. If you wish to perfectly take up the rhythm of the chapters, you need to be at an intermediate level in quantitative finance and you also need to have a reasonable knowledge of R. What You Will Learn Analyze high frequency financial data Build, calibrate, test, and implement theoretical models such as cointegration, VAR, GARCH, APT, Black-Scholes, Margrabe, logoptimal portfolios, core-periphery, and contagion Solve practical, real-world financial problems in R related to big data, discrete hedging, transaction costs, and more. Discover simulation techniques and apply them to situations where analytical formulas are not available Create a winning arbitrage, speculation, or hedging strategy customized to your risk preferences Understand relationships between market factors and their impact on your portfolio Assess the trade-off between accuracy and the cost of your trading strategy In Detail R is a powerful open source functional programming language that provides high level graphics and interfaces to other languages. Its strength lies in data analysis, graphics, visualization, and data manipulation. R is becoming a widely used modeling tool in science, engineering, and business. The book is organized as a step-by-step practical guide to using R. Starting with time series analysis, you will also learn how to forecast the volume for VWAP Trading. Among other topics, the book covers FX derivatives, interest rate derivatives, and optimal hedging. The last chapters provide an overview on liquidity risk management, risk measures, and more. The book pragmatically introduces both the quantitative finance concepts and their modeling in R, enabling you to build a tailor-made trading system on your own. By the end of the book, you will be well versed with various financial techniques using R and will be able to place good bets while making financial decisions. Table of Contents Chapter 1: Time Series Analysis Chapter 2: Factor Models Chapter 3: Forecasting Volume Chapter 4: Big Data – Advanced Analytics Chapter 5: FX Derivatives Chapter 6: Interest Rate Derivatives and Models Chapter 7: Exotic Options Chapter 8: Optimal Hedging Chapter 9: Fundamental Analysis Chapter 10: Technical Analysis, Neural Networks, and Logoptimal Portfolios Chapter 11: Asset and Liability Management Chapter 12: Capital Adequacy Chapter 13: Systemic Risks
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会员免费 - Working.with.Odoo.1784394556Learn how to use Odoo, a resourceful, open source business application platform designed to transform and modernize your business About This Book Configure, manage, and customize Odoo to fit the needs of your business Learn about the new Odoo 8 website builder and e-commerce features that are seamlessly integrated with Odoo's business applications Perform step-by-step configurations of the most important Odoo applications using real-world examples Who This Book Is For This book is perfect for people who have never used Odoo and for those who would like to learn about more advanced features such as creating your own custom modules. In order to get the most out of this book, you should be comfortable with downloading and installing software and understand basic business concepts such as sales, purchasing, inventory management, and basic accounting. What You Will Learn Configure a functioning customer relationship management system Set up a purchasing and receiving system for your company that allows you to track inventory, costs, and profit Implement manufacturing operations and processes using real-world examples that you can put to use in your own company Discover the capabilities of Odoo's financial accounting and reporting features Integrate powerful human resource applications that simplify the collection and management of employee information Utilize Odoo's full featured project management application to organize tasks and track time and costs associated with billable projects Customize Odoo without writing a line a code In Detail Odoo continues to gain momentum throughout the world in regards to providing the best platform for open source ERP installations. Now with Odoo 8, you have access to a powerful website builder, integrated e-commerce features, and a fast-growing community to help transform and modernize your business. With this practical guide, you will cover the essential modules to get Odoo up and running for your company. After installing Odoo, you will use its sales management application to enter quotes, create sales orders, and invoice customers. You will then learn how to integrate the CRM application to manage your leads and convert them into lucrative opportunities and sales. Next, you will set up your own purchase management system, assigning products to suppliers and tracking orders with the new warehouse management and routing system. Finally, you will learn how to use analytics to track project expenses and keep your accounts simple and easy to maintain and build an Odoo module to extend its functionality and make it work for you. Working with Odoo covers all the core installation and usage functionalities of this popular tool, helping you to fully implement a working ERP system through practical, advanced, real-world examples. Style and approach This book is a practical guide that uses real-world examples to teach you how to implement Odoo into your business. Table of Contents Chapter 1: Setting Up Odoo Chapter 2: Installing Your First Application Chapter 3: Exploring Customer Relationship Management in Odoo Chapter 4: Purchasing with Odoo Chapter 5: Making Goods with Manufacturing Resource Planning Chapter 6: Configuring Accounting Finance Chapter 7: Administering an Odoo Installation Chapter 8: Implementing the Human Resources Application Chapter 9: Understanding Project Management Chapter 10: Creating Advanced Searches and Dashboards Chapter 11: Building a Website with Odoo Chapter 12: Implementing E-Commerce with Odoo Chapter 13: Customizing Odoo for Your Business Chapter 14: Modifying Documents and Reports Chapter 15: Understanding Workflows Chapter 16: Discovering Custom Odoo Modules Chapter 17: Locating Additional doo Resources
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会员免费 - TradeX.dll四合一交易接口用户参考手册 v1.1(2017) - 兼容 Trade.dll交易接口TradeX.dll四合一股票交易接口,包括股票下单接口和行情接口 版本描述: 1)完美兼容老版的交易接口Trade.dll所有功能、函数,支持批量下单,直连交易服务器,无中转; 2)支持Level 1 + Level 2 实时行情 +扩展行情(期货/期权/港股等),高速连接; 3)全新封装了VC,VB,C#,Python,Delphi,Java,易语言等语言接口,简单易用; 4)专业长期维护支持,再无木马后门安全之虞,速度快,稳定性高,长期实盘运行; 5)兼容市场上绝大部分券商; 6)支持一键新股申购功能;
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会员免费 - PBOC3.0——第 2 部分 电子钱包-电子存折应用规范PBOC3.0 共包括14 个部分(原PBOC2.0 的第1 部分:钱包存折卡片、第2 部分:钱包存折应用、第9 部分:钱包存折扩展已删除),分别为: 第3 部分:与应用无关的IC 卡与终端接口; 第4 部分:借记贷记应用; 第5 部分:借记贷记应用卡片; 第6 部分:借记贷记应用终端; 第7 部分:借记贷记应用安全; 第8 部分:与应用无关的非接触式规范; 第10 部分:借记贷记应用个人化指南; 第11 部分:非接触式IC 卡通讯; 第12 部分:非接触式IC 卡支付; 第13 部分:基于借记贷记应用的小额支付; 第14 部分:基于借记贷记应用的小额支付扩展应用; 第15 部分:电子现金双币支付应用; 第16 部分:IC 卡互联网终端; 第17 部分:借记贷记应用安全增强。 PBOC3.0 结合国内外最新技术与安全标准,对金融IC 卡的底层标准及安全算法进行了完善,增强了卡片与终端的交互适应性,同时引入了移动支付、行业多应用等元素,提高了金融支付的安全性。
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会员免费 - R的极客理想-工具篇本书首先介绍了R的工具包、时间序列包和性能监控包,然后阐述R语言与其他编程语言的通信以及R语言作为服务器的应用,最后阐释R语言与各种数据库的通信以及R语言与Hadoop集成。附录介绍了Java、Hadoop以及各种数据库对安装方式。书中内容涉及计算机、互联网、数据库、大数据、统计、金融等领域,详细总结了R语言与Java、MySQL、Redis、MongoDB、Cassandra、Hadoop、Hive、Hbase等技术的综合运用的解决方案,具有实战性,可操作性强。本书适合所有R语言工作者,包括软件工程师、DBA、数据科学家、科研工作者以及大中专院校相关专业的学生。
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免费 - Quantitative Equity Portfolio ManagementQuantitative Equity Portfolio Management Publication Date: May 11, 2007 | ISBN-10: 1584885580 | ISBN-13: 978-1584885580 | Edition: 1 Quantitative equity portfolio management combines theories and advanced techniques from several disciplines, including financial economics, accounting, mathematics, and operational research. While many texts are devoted to these disciplines, few deal with quantitative equity investing in a systematic and mathematical framework that is suitable for quantitative investment students. Providing a solid foundation in the subject, Quantitative Equity Portfolio Management: Modern Techniques and Applications presents a self-contained overview and a detailed mathematical treatment of various topics. From the theoretical basis of behavior finance to recently developed techniques, the authors review quantitative investment strategies and factors that are commonly used in practice, including value, momentum, and quality, accompanied by their academic origins. They present advanced techniques and applications in return forecasting models, risk management, portfolio construction, and portfolio implementation that include examples such as optimal multi-factor models, contextual and nonlinear models, factor timing techniques, portfolio turnover control, Monte Carlo valuation of firm values, and optimal trading. In many cases, the text frames related problems in mathematical terms and illustrates the mathematical concepts and solutions with numerical and empirical examples. Ideal for students in computational and quantitative finance programs, Quantitative Equity Portfolio Management serves as a guide to combat many common modeling issues and provides a rich understanding of portfolio management using mathematical analysis.
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会员免费 - 深入浅出量化实验室呈现在您眼前的,是依托通联数据的金融大数据资源,由通联数据金融工程团队开发的新时代金融平 台。量化实验室(Mercury)是通联数据切合中国金融市场的需要,推出的具有独创性和前沿性的平台。它 的目标: • 打破现有金融工具互相割裂,互不兼容的格局,开创一个统一,包容的金融数据,分析,交易中心。 • 数据为根,分析为本!缺乏分析的数据是一潭死水,缺乏数据的分析是无本之木。量化实验室将数据 与分析紧密结合,融为一体,做到你中有我,我中有你。 为贯彻以上理念,Mercury 提供了两大基石: QUARTZ Quartz 是 Mercury 的回测交易框架。在这一框架下,用户可以专注于描述交易算法逻辑,而不用关心 底层的实现细节。Quartz 为用户处理包括账户簿记,策略表现评估的功能。现阶段 Quartz 支持日间回测, 并且将很快推出日内交易回测的机制。现阶段,Quartz 已经支持回测功能,未来会推出交易功能。方便客户 将成功的策略无缝的投入实盘环境。 CAL CAL 是 Mercury 中的金融计算分析库。涵盖金融市场计算的方方面面,包括定价,风险指标分析,数 值计算以及等等。涉及的产品包括:股票、债券、利率、期权、衍生品以及 ABS 等等。CAL 的设计是高度 模块化,方便专业金融人士在此基础之上设计自己的模型或者整合进自己的已有系统之中。
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会员免费 - Blockchain.Basics.A.Non-Technical.Introduction.in.25.Steps.pdfIn 25 concise steps, you will learn the basics of blockchain technology. No mathematical formulas, program code, or computer science jargon are used. No previous knowledge in computer science, mathematics, programming, or cryptography is required. Terminology is explained through pictures, analogies, and metaphors. This book bridges the gap that exists between purely technical books about the blockchain and purely business-focused books. It does so by explaining both the technical concepts that make up the blockchain and their role in business-relevant applications. What You Will Learn: What the blockchain is Why it is needed and what problem it solves Why there is so much excitement about the blockchain and its potential Major components and their purpose How various components of the blockchain work and interact Limitations, why they exist, and what has been done to overcome them Major application scenarios Who This Book Is For: Everyone who wants to get a general idea of what blockchain technology is, how it works, and how it will potentially change the financial system as we know it Table of Contents Stage I: Terminology and Technical Foundations Step 1: Thinking in Layers and Aspects Step 2: Seeing the Big Picture Step 3: Recognizing the Potential Stage II: Why the Blockchain Is Needed Step 4: Discovering the Core Problem Step 5: Disambiguating the Term Step 6: Understanding the Nature of Ownership Step 7: Spending Money Twice Stage III: How the Blockchain Works Step 8: Planning the Blockchain Step 9: Documenting Ownership Step 10: Hashing Data Step 11: Hashing in the Real World Step 12: Identifying and Protecting User Accounts Step 13: Authorizing Transactions Step 14: Storing Transaction Data Step 15: Using the Data Store Step 16: Protecting the Data Store Step 17: Distributing the Data Store Among Peers Step 18: Verif ying and Adding Transactions Step 19: Choosing a Transaction History Step 20: Paying for Integrity Step 21: Bringing the Pieces Together Stage IV: Limitations and How to Overcome Them Step 22: Seeing the Limitations Step 23: Reinventing the Blockchain Stage V: Using the Blockchain, Summary, and Outlook Step 24: Using the Blockchain Step 25: Summarizing and Going Further
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会员免费 - Statistics and Data Analysis for Financial EngineeringPublication Date: November 17, 2010 | ISBN-10: 1441977864 | ISBN-13: 978-1441977861 | Edition: 2011 Financial engineers have access to enormous quantities of data but need powerful methods for extracting quantitative information, particularly about volatility and risks. Key features of this textbook are: illustration of concepts with financial markets and economic data, R Labs with real-data exercises, and integration of graphical and analytic methods for modeling and diagnosing modeling errors. Despite some overlap with the author's undergraduate textbook Statistics and Finance: An Introduction, this book differs from that earlier volume in several important aspects: it is graduate-level; computations and graphics are done in R; and many advanced topics are covered, for example, multivariate distributions, copulas, Bayesian computations, VaR and expected shortfall, and cointegration. The prerequisites are basic statistics and probability, matrices and linear algebra, and calculus. Some exposure to finance is helpful.
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