Articles
Autocorrelation in R
Autocorrelation is an important part of time series analysis. It helps us understand how each observation in a time ser...
Differencing and Log Transformation
Removing Variability Using Logarithmic Transformation Since the data shows changing variance over time, the first th...
Time Series Transformation in R
We will now learn about how we can perform the mathematical transformations in R in order to make a non-stationary seri...
Transforming a Series to Stationary
Most financial and economic times series are not stationary. Even when you adjust them for seasonal variations, they wi...
Stationary Process in Time Series
A common assumption made in time series analysis is that one of the components of the pattern exhibited by a time serie...
Role of Data Science in Risk Management
Risk management is an integral part of any financial institution. All businesses face a variety of risks and the ri...
Characteristics of Time Series
Time series have several characteristics that make their analysis different from other types of data. The time serie...
Plotting Financial Time Series Data (Multiple Columns) in R
Let's take one more example of plotting financial time series data. This time we will use the EuStockMarkets ...
These 7 Business Expenses Are More Negotiable Than You Think
Not all business expenses have to be fixed at a certain rate. In fact, there are several things you spend money on ...
Check if an object is a time series object in R
In R, objects can be of different class such as vector, list, dataframe, ts, etc. When you load a dataset into R, it ma...
Creating a Time Series Object in R
In R, we can use the ts() function to create a time series object. Usage Below is a simplified format o...
15 Random Tips For Those Living Alone For the First Time
Venturing out in the world on your own for the first time can be exhilarating – and sort of scary. You may find yoursel...
Handling Missing Values in Time Series
In the examples we saw earlier, we had good quality data with all values available for all time indexes. However, in re...
Plotting Time Series in R
While we can explore time series data using commands such as print(), head(), tail(), etc in R, it can b...
How To Create a 1099
Whether you are a freelancer or a small business employee whose business is contracting outside help, you must have...
Exploring Time Series Data in R
Let's look at a few commands that we will frequently use while exploring time series data. length() The leng...
Financial Time Series Data
Welcome to this course on financial time series analysis using R. In this course, we will learn about financial time se...
A Brief Look into Alibaba Stocks
The turmoil that is occurring in China with the battle for Hong Kong being waged while the United States is locked in a...
The Impact of Brexit on the HR Sector
Brexit has already had a major impact on UK businesses. However, one sector which is especially feeling the negative ef...
Guide to Claim Insurance for Your Stolen Two-wheeler
When the classic bike bug hits men, there is no stopping them. Maybe they want that bike they dreamed about in coll...
Data Science in Finance: 9-Book Bundle
Master R and Python for financial data science with our comprehensive bundle of 9 ebooks.
What's Included:
- Getting Started with R
- R Programming for Data Science
- Data Visualization with R
- Financial Time Series Analysis with R
- Quantitative Trading Strategies with R
- Derivatives with R
- Credit Risk Modelling With R
- Python for Data Science
- Machine Learning in Finance using Python
Each book includes PDFs, explanations, instructions, data files, and R code for all examples.
Get the Bundle for $39 (Regular $57)