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  • Econometrics / Finance
  • bea.R
  • Nasdaq
  • Rmetrics
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DivineOffice

Hands-On Intermediate Econometrics Using R, 2nd Ed. 2022 / Hands-On Matrix Algebra Using R 2011 / Multilevel Modeling Using R, 2nd Ed. 2019 / Quantitative Finance with R > Credit risk > Financial modeling > Forecasting > Options and VaR

Practical Management Science, 6th Ed. 2019 / Albright, Winston Home Page / 15 Best Investment Sites / investopedia.com / General Instructions for LibreOffice > Development Tools

graphics / grid > lattice > rgl

Interactive Visualization with JavaScript and R / trading.view / The Briefing Room / web development / Markdown & YAML cheat sheet

Financial Engineering Analytics: A Practice Manual Using R 2018-01-09 / Introduction to Computational Finance and Financial Econometrics with R 2021 > IntroCompFinR / PerformanceAnalytics / PortfolioAnalytics / … R to Automate Pulling Stock Data / Analysis : Fundamental >< Technical / Technical Analysis with R 2020 > … etc. > Technical Analysis of Capital Market Data in R - First Steps > Charting Financial Market Data in R / ChartSchool > Technical Analysis 101

Introduction to Econometrics, 4th Global Ed. 2020 > Introduction to Econometrics with R 2024 | Introductory Econometrics for Finance, 4th Ed. 2019 : Descriptive Statistics p 96 of 891 / Introductory Econometrics for Finance : R Guide, 4th Ed. 2019 | Learning Microeconometrics with R 2021 / miscr > Microeconometrics with R Web site/ Applied Microeconometrics with R 2024 / Microeconometrics - e-Notes: Practice guide using R 2019 / Microeconomics: Theory Through Applications : download < 2012 Book Archive > How To Invest / chart types / Time Series Analysis : Lecture Notes with Examples in R 2023 > Time Series Analysis with R 2011 / R Charts > r-charts > rCharts / Statistics and Data Analysis for Financial Engineering with R Examples, 2nd Ed. 2015 / ECMAScript, 15th Ed. 2024


Econometrics / Finance

An Introduction to Financial Econometrics 2004 / Financial Econometrics: Problems, Models, and Methods / Financial_Econometrics_Mathematics_and_Statistics-Theory_Method_and_Application-2019 / Introduction to Econometrics with R 2020 / The Basics of Financial Econometrics / Financial Econometrics – 2023 Lecture Notes / Journal of Financial Econometrics, Volume 19, Number 1, Winter 2021 / Teaching Financial Econometrics to Students Converting to Finance 2024 / Handbook of Financial Econometrics, Volume 1 / Handbook of Financial Econometrics, Volume 2 / Introduction to Econometrics with R 2024 / Principles of Econometrics with R 2016 > 5th Ed. / Introductory Econometrics, 7th Ed. / Using R for Introductory Econometrics, 2nd Ed. 2020 / Econometrics for Business Analytics 2024 / Introduction to Bayesian Econometrics A GUIded tour using R 2022

Investment Science / Portfolio Construction and Analytics / The handbook of fixed income securities / Corporate Finance > Financial Analysis : Econometrics: Definition, Models, and Methods / Financial Analysis / Markets Today / timelyportfolio / rCharts_time_series / Time Series Analysis with R / Using R for Time Series Analysis / A Little Book of R For Time Series Release 0.2 rCharts / Interactive Visualization with JavaScript and R / JavaScript for R 2021 / R Programming and Its Applications in Financial Mathematics 2018 / Statistics and Data Analysis for Financial Engineering with R examples, 2nd Ed. 2015 / Computational Statistics with R, Volume 32 - Handbook of Statistics 2014 / Time Series Analysis and Its Applications: With R Examples, 4th Ed. 2017 / Financial Data Engineering: Design and Build Data-Driven Financial Products 2024 / Handbook of Computational Finance 2012

Foundations of Quantitative Finance, Book I: Measure Spaces and Measurable Functions 2022 / Foundations of Quantitative Finance Book II: Probability Spaces and Random Variables 2022 / Foundations of Quantitative Finance: Book III. The Integrals of Riemann, Lebesgue and (Riemann-)Stieltjes 2023 / Foundations of Quantitative Finance Book IV: Distribution Functions and Expectations 2023 / Foundations of Quantitative Finance Book V: General Measure and Integration Theory 2024 / Excel For Finance 2024 A comprehensive guide to excel in quantitative finance 2024 / Learning Modern C++ for Finance: Foundations for Quantitative Programming 2024

Principles of Corporate Finance / Applications of computational intelligence in data-driven trading / Computational Intelligence for Business Analytics / Statistic for High-Dimensional Data Methods, Theory and Applications / Zelig Statistical Software > Workflow / R-sig-dynamic-models

Chartschool @ stockcharts.com / StockCharts Technical Ranking / Markets / SCTR / Investopedia News / Fundamental Analysis

Bank of America

thonyfq@gmail.com / Economic Indicators / US Census Business and Industry data sets / Economic Indicator Database / Advance Economic Indicators Explore Census Data / FRED API / ResearchDataGov


bea.R

bea.R version 1.0.6 | Measuring the Economy : A Primer … | Data API User Guide | github.com | Methodologies | github.com | Package ‘bea.R’ > tools | NIPA Handbook: Concepts and Methods of the U.S. National Income and Product Accounts > download | U.S. International Economic Accounts: Concepts and Methods > download |
US Economy at a Glance | State and Local Economies | Industries | Foreign Trade |


Nasdaq

NasdaqDataLink | free core financial data | Bitcoin Data Insights | Bitfinex Crypto Coins Exchange Rate | Commodity Futures Trading Commission Reports | IMF Cross Country Macroeconomic Statistics | JODI Oil World Database | Metal Stocks Breakdown Report | Organization of the Petroleum Exporting Countries | World Agricultural Supply and Demand Estimates | World Bank Data | Zillow Real Estate Data | API and Analysis Tools for Tables Data R | NasdaqDataLink API Wrapper | .pdf | Quandl > news | search Ownership | Earning Per Share | Market Capitalization | Market Value | Futures | Extensible Business Reporting Language (XBRL) 2.1 | XBRL.pdf | XBRL The Standard | Extensible Business Reporting Language (XBRL) 2.1 | XBRL Validation and Rendering | Open Trade Statistics | UN Comtrade Database : 2022 International Trade Statistics Yearbook | World Statistics Pocketbook 2024 edition | U.S. Securities and Exchange Commission > sitemap > Developer Resources | EDGAR Application Programming Interfaces | Data and Research > datasets/edgar @ github.com | SEC Data Resources | Data Visualizations | Market Activity Data Visualizations | EDGAR Renderer Quick Start to Install EDGAR® Renderer | Financial Educational Resource Hub @ nasdaq.com

World Bank Open Data / Developer Information ← Knowledge Base / Statistical Performance Indicators / DataBank analysis and visualisation

NYSE Composite (NYA) Historical Data > HistoricalData_1732757135034.csv < 55e471ee-d518-4cd6-89eb-4d9749491a81e.csv / Dow Industrials (INDU) Historical Data / HistoricalData_1732758293751.csv / HistoricalData_1732758330717.csv


Rmetrics

Basic R for Finance / fBasics / Long Term Statistical Analysis of US Asset Classes / Portfolio Optimization with R/Rmetrics


TradingView

Track all markets on TradingView


MIT OCW

Systems Engineering OpenCourseWare / Communication System Design > Communication Systems Engineering / Optimization Methods in Management Science > Applied Mathematical Programming 1977

Introduction to Mathematical Programming / Nonlinear Programming Engineering Systems Analysis for Design / Dynamic Systems and Control / Signals and Systems Fundamentals of Systems Engineering / Computer Algorithms in Systems Engineering / Logistics Systems > Logistics and Supply Chain Management > Special Topics in Supply Chain Management

Systems Engineering / System Architecture / Introduction to System Dynamics / Dynamics of Nonlinear Systems / System Dynamics II / System Dynamics Self Study Combinatorial Optimization / Dynamic Optimization Methods with Applications > Dynamic Optimization & Economic Applications (Recursive Methods) / Integer Programming and Combinatorial Optimization / Optimization Methods / Optimization Methods in Management Science / Systems Optimization > Systems Optimization: Models and Computation (SMA 5223) / Multidisciplinary System Design Optimization / Network Optimization

Decision Making in Large Scale Systems / IDS.333 Risk and Decision Analysis / Dynamic Programming and Stochastic Control / Probabilistic Systems Analysis and Applied Probability / Topics in Mathematics with Applications in Finance / Analytics of Finance / Business Analysis Using Financial Statements / Blockchain and Money / Investments

MIT OCW Systems Engineering > Explore OpenCourseWare > UG > Communication Systems Engineering > Optimization Methods in Management Science > Signals, Systems and Information for Media Technology > Dynamic Systems and Control > download / Signals, Systems and Information for Media Technology

MITx MicroMasters Programs Supply Chain Management Course Syllabi : CTL. > SC0x - Supply Chain Analytics / SC1x - Supply Chain Fundamentals / SC2x - Supply Chain Design / SC3x - Supply Chain Dynamics / SC4x - Supply Chain Technology and Systems > Key Concepts > Schedule

UF EDGE / Systems Engineering Certificate / Non-Degree Seeking


Dynamics / Engineering

Introduction to Dynamic Systems : Theory, Models and Applications 1979 / Modeling of Dynamic Systems with Engineering Applications / Dynamic Programming Multi-Objective Combinatorial Optimization / Dynamic Systems and Control / An Optimization Primer 2022 / Handbook of Engineering Statistics / Handbook of Big Data Analytics

Dynamic Systems and Control / Electrical Engineering / Marketing Analytics: Data-Driven Techniques with Microsoft Excel 2014 / Artificial Intelligence and Machine Learning with R: Applications in the Field of Business Analytics 2024 / Supply Chain Planning: An Analytics-based Approach 2021


RStudio IDE User Guide

Markdown > CommonMark / HTML Document > Markdown : Syntax / YAML


Quarto

Guide / Reference / Markdown Basics / Article Layout / Page Layout / HTML Basisc > Options /Dashboards > Dashboards with Observable JS / Project / R Manuals


Observable JS

Observablehq / D3 > API > gallery / Big-Scale Data Dashboards With Observable Framework

Bubble Chart

This example uses a D3 bubble chart imported from Observable HQ to analyze commits to GitHub repositories.

Select a repository to analyze the commits of:

viewof repo = Inputs.radio(
  [
    "pandas-dev/pandas",
    "tidyverse/ggplot2",
  ], 
  { label: "Repository:", value: "pandas-dev/pandas"}
)

Fetch the commits for the specified repo using the GitHub API:

d3 = require('d3')
contributors = await d3.json(
  "https://api.github.com/repos/" + repo + "/stats/contributors"
)
commits = contributors.map(contributor => {
  const author = contributor.author;
  return {
    name: author.login,
    title: author.login,
    group: author.type,
    value: contributor.total
  }
})

Note that the repo variable is bound dynamically from the radio input defined above. If you change the input the contributors query will be automatically re-executed.

View the commits sorted by most to least:

Inputs.table(commits, { sort: "value", reverse: true })

Visualize using a D3 bubble chart imported from Observable HQ:

import { chart } with { commits as data } 
  from "@d3/d3-bubble-chart"
chart

Immaculate Heart of Mary

Google Maps

37 Road 13, Quezon City, Metro Manila / 14°39’31”N 121°02’06”E


Vortex CM62 SIM

The default SIM unlock code for T-Mobile and Sprint is 1234, while the default unlock code for Verizon and AT&T is 1111’.[1] If you don’t know the PIN, try the default code first.[2] After you enter the code incorrectly too many times (the number varies), you’ll be prompted to enter the PUK. https://www.t-mobile.com/support/devices/puk-code-unlock / https://www.t-mobile.com/contact-us / https://www.t-mobile.com/support/plans-features/self-service-short-codes / https://unlocklocks.com/blog/unlock-vortex-cm62/ Patriot Mobile


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