Introduction to Financial Analytics in R | EDUCBA

Autoplay
Autocomplete

Previous Lesson Complete and Continue

FINANCIAL ANALYTICS in R

Financial Analytics in R - Beginners

Introduction to Financial Analytics In R (5:34)
Time Value of Money (9:05)
Capital Budgeting NPV (5:57)
Insall to FinacialMath (11:08)
FinacialMath IRR (7:52)
Payback Period (3:57)
Loan Payment and Annuity Calculation (9:50)
Stock Analysis Using R (8:01)
Importing Data in R (10:13)
Visualizing Multiple Stock (6:32)
Plot Zoom (6:08)
Plotting Log Differnces of Prices in Stock (6:46)
Technical Analysis of Stocks (7:03)
Comparison Analysis (10:53)
Bond Valuation in (12:42)
Bond Valuation Continue (6:32)
More on Bond Valuation (7:13)
Capital Asset Pricing Model (7:48)
Basic Concept Finance (4:34)
Coding R (5:47)
Price Development (10:00)
Risk Return Trade (10:48)
Plot The Value (6:17)
Adding a Third Asset (3:50)
Create Portfolio Weights (9:07)
Possible Portfolios with Three Risky Assets (3:04)
Fundamental Analysis (11:02)
Working on Financial Ratios (4:03)

Financial Analytics and Statistical Tools

Introduction to Statistical Tool (6:15)
Trimmed Mean (6:25)
Geometric Mean (5:59)
What is Mode (6:34)
Max and Min Value (5:05)
Standard Deviation (11:56)
Sum Product and Sumif (5:01)
Exponential Absolute and Log (6:32)
Example 1 (11:03)
Example 2 (10:41)
Example 3 (10:32)
Example 4 (11:28)

Financial Analytics with Python

Introduction to Course (2:17)
How to Install Python Software (2:52)
Use of Python Libraries (7:25)
Data Analysis (0:46)
Working on Dataframe Part 1 (12:58)
Working on Dataframe Part 2 (10:20)
Working on Dataframe Part 3 (6:07)
Base of Analytics (9:42)
Financial Time Series Analysis (12:22)
Regression Analysis (9:46)
Data Visualisation (8:01)
Data Visualisation Continue (5:55)
Financial Plots (5:09)
3D Charts (3:38)

Financial Analytics in R - Intermediate

Introduction to Financial Analytics in R Intermadiate (1:47)
Linear Regression Method (4:39)
Linear Regression Method Example (2:16)
Linear Regression Method Example Continue (6:14)
Linear Regression Method Assumptions (3:56)
How Good Our Model is (9:01)
Regression Line (5:32)
R Square (8:17)
Logistic Regression (6:39)
Importance of Transformation from Probability to Log Odds (9:43)
Logistic Regression Example (4:27)
Logistic Regression Example Continue (5:54)
Logitech Regression Diagnostics (9:10)
Scope (1:09)

Financial Analytics in R - Advanced

Introduction to Financial Analytics in R (1:30)
What are Derivative (3:16)
Option Contract (5:27)
Basic Scholes Option Pricing Model (7:11)
Option Pricing in R (4:42)
Assumptions - Black Scholes Model (6:14)
Exotic Option - Barrier Option (4:44)
Barrier Option Pricing (3:37)
Perpetual American Bonds (4:43)
Option Greeks (11:35)
Risk Measure (7:52)
Risk Measures in R (6:00)
Risk Measures in R Continue (7:59)
More on Risk Measures in R (3:29)
Conclusion (5:51)

Teach online with

Introduction to Financial Analytics in R

Complete and Continue