Portfolio theories | Mathematical finance
Returns-based style analysis is a statistical technique used in finance to deconstruct the returns of investment strategies using a variety of explanatory variables. The model results in a strategy's exposures to asset classes or other factors, interpreted as a measure of a fund or portfolio manager's style. While the model is most frequently used to show an equity mutual fund’s style with reference to common style axes (such as large/small and value/growth), recent applications have extended the model’s utility to model more complex strategies, such as those employed by hedge funds. Returns based strategies that use factors such as momentum signals (e.g., 52-week high) have been popular to the extent that industry analysts incorporate their use in their Buy/Sell recommendations. (Wikipedia).
Sensitivity Analysis for Financial Models in Excel
If you like this video, drop a comment, give it a thumbs up and consider subscribing here: https://www.youtube.com/c/HowToBeAnAdult?sub_confirmation=1 Music from: YouTube Audio Library Check out our new project: https://magnimetrics.com The Online Platform for Automated Analysis Random
From playlist Excel Tutorials
Reliability 1: External reliability and rater reliability and agreement
In this video, I discuss external reliability, inter- and intra-rater reliability, and rater agreement.
From playlist Reliability analysis
Excel Array Formula Series #3: Expected Return For Stocks
Download Excel Files: Start and Finished File: https://people.highline.edu/mgirvin/YouTubeExcelIsFun/ExcelArrayFormulaSeries1-14.xls Finished File: https://people.highline.edu/mgirvin/YouTubeExcelIsFun/ExcelArrayFormulaSeries1-14Finished.xls Full Page With All File Links: http://people.
From playlist Excel Data Analysis Tricks
What are Residuals in Regression?
Brief intro to residuals in regression. What they are and what they look like in relation to a line of best fit. Sum and mean of residuals.
From playlist Regression Analysis
Evaluation 6: precision and recall
Precision and recall are the two fundamental measures of search effectiveness. We discuss their building blocks (true/false positives/negatives), give a probabilistic interpretation, and provide an intuitive explanation of what they reflect. We also discuss why you should never report just
From playlist IR13 Evaluating Search Engines
Linear Regression using Python
This seminar series looks at four important linear models (linear regression, analysis of variance, analysis of covariance, and logistic regression). A video that explains all four model types is at https://www.youtube.com/watch?v=SV9AxXFWZnM&t=12s This video is on linear regression usin
From playlist Statistics
Business Analytics with Excel | Data Science Tutorial | Simplilearn
🔥Business Analyst Program (Discount Coupon: YTBE15) : https://www.simplilearn.com/business-analyst-certification-training-course?utm_campaign=BusinessAnalysis-W3vrMSah3rc&utm_medium=DescriptionFirstFold&utm_source=youtube 🔥 Professional Certificate Program In Business Analysis: https://www
From playlist Business Analyst Training Videos
PowerShell+ 2019 - PSScriptAnalyzer (PSSA) VS-code integration & ... by Christoph Bergmeister
PSScriptAnalyzer (PSSA) VS-code integration & customization Compatibility Analysis by Christoph Bergmeister The default setup of PSSA does not enable all rules to their full potential and the VS-Code extension does not show all PSSA warnings by default. I will show advanced features such
From playlist PowerShell + DevOps Global Summit 2019
Business Data Analysis with Excel
Business data presents a challenge for the data analyst. Business data is often aggregated, recorded over time, and tends to exhibit autocorrelation. Additionally, and most problematically, the amount of business data is usually quite limited. These characteristics lead to a situation wher
From playlist Data Analytics Tutorials
Task-based assessment vs competency-based assessment
In this video, I discuss task-based assessment vs competency-based assessment.
From playlist Learn with Experts
DjangoCon US 2017 - Preventing headaches with linters and automated checks by Flávio Junior
DjangoCon US 2017 - Preventing headaches with linters and automated checks by Flávio Junior While it’s very common to enforce PEP8 code style with tools like flake8, it’s rare for Django projects to use any other types of tools for automated checks. However, linters and automated checks a
From playlist DjangoCon US 2017
Getting Started with Technical Analysis
In this video I'm going to approach teaching Technical Analysis from the beginning. I'll show you all the libraries you need, how to download stocks, and then all that you need to do to compare return on investment between numerous securities. This is a multipart tutorial series that will
From playlist Technical Analysis
PNWS 2014 - Towards a Safer Scala
By, Leif Wickland Scala has many, well-known WTF LOLs that result from the language too enthusiastically attempting to help the programmer. Scala can also be written across a wide range of styles from the Typelevel to the Better Java. The Scala ecosystem has static analysis and linting t
From playlist PNWS 2014
Finance Analysis And Reporting | Finance Analyst Training | Python Data Analytics 2023 | Simplilearn
This tutorial on Finanace Management using Python is the guide to finance analysis and reporting using Pandas, Numpy, Matplotlib and Seaborn modules. This video on Finance Analysis and Reporting will make you learn how to draw plots using pyplot class of matplotlib. Here we start with: 👉
Interactive Analysis of Complex Optical Phenomenon
Since 2016, Airy Optics Inc. has leveraged interactive Mathematica features for the real-time analysis of cutting-edge imaging systems, such as design of optics for augmented and virtual reality. Losses of image quality that are based in polarization are often poorly understood, and can be
From playlist Wolfram Technology Conference 2022
Laser: Static Analysis for Ruby, in Ruby by Michael Edgar
What truly makes Ruby special as a language is its focus on expressivity, flexibility, and dynamism. Yet these same properties - and their widespread use in the community - make even straightforward application code difficult to analyze statically in a meaningful way. Laser seeks to change
From playlist Ruby Conference 2011
Agile Roots 2010 - Test Driven Design - Coupling Loosely
By: Arlo Belshee Mock objects are a good way to break apart a legacy system to test it. However, they do not improve coupling (few dependencies between units) or cohesion (each unit does one thing). Making code easy to change requires using indirections with looser coupling. In this infor
From playlist AgileRoots2010
RubyConf 2021 - Enjoy Ruby Programming in IDE and TypeProf by Yusuke Endoh
The rich development experience in integrated development environments (IDEs), including on-the-fly error reporting, refactoring feature, completion, etc., has become increasingly important. To achieve this, many programing languages are incorporating annotations such as type hinting. Howe
From playlist RubyConf 2021
From playlist Exploratory Data Analysis
OSB 2015 - Build a Web Map with Open Source Tools - Lyzi Diamond
Come learn to make a map on the web! In this tutorial, we will build an interactive, data-filled web map using a number of open source tools including Mapbox.js (a JavaScript library based on Leaflet.js). We will cover several options for interactivity and data sources, and show how to int
From playlist Open Source Bridge 2015