# Using an Autoregressive Model to Predict the Price-to-Earnings Ratio and Develop an Investment Strategy

In a previous post, we highlighted an article that showed how useful accounting numbers are. In this post, we will present a concrete example of an application of accounting numbers in portfolio management. Reference showed that the Price-to-Earnings ratio is a mean-reverting process, and it can be accurately estimated …

# Why is Econometrics Important in Business?

Econometrics has been an area of high interest within the economics world. While the concept comes from the early- to mid-1900s, it has developed rapidly over the last few decades. Econometrics primarily applies to the world of economics. However, it has also contributed a lot to the business world. Before …

# What is the Difference Between Statistics and Econometrics?

Econometrics and statistics have common overlapping areas that some people may find confusing. While both of these fields deal with statistics and the relationship between data, they are different. Before learning how these two differ from each other, it is crucial to understand what they are. What is Econometrics? The …

# Are Econometric Models Useful in Trading?

We have previously presented time series analysis for identifying autocorrelation properties of stock indices and econometric techniques such as ARIMA and GARCH for estimating volatilities. We also highlighted an article that demonstrated the usefulness of advanced volatility estimators in trading by reducing trading strategies’ turnover. On the same topic, …

# Econometrics vs Actuarial Science

Both econometrics and actuarial science involve similar areas of study. These include statistics, mathematics, economics, and finance. However, they usually have different applications and are prevalent in particular industries. Despite their similarities, however, both of these fields also differ from each other in various aspects. Before understanding those differences, it …

# Econometrics vs Mathematical Economics

Economics is a field of study that relates to analyzing various factors that affect a country’s economy. These factors include production, distribution, and consumption of goods and services, collectively termed as value. However, the field of economics usually involves theoretical analysis. When it comes to quantifying these theories, there are …

# Econometrics and Data Science

Data science and machine learning have allowed analysts to process data at more efficient rates. Due to the abundance of tools at disposal currently, the process has become much straightforward. Data science has contributed to many other fields, including economics. More particularly, it has enhanced how analysts use econometrics to …

# An Application of Volatility Estimators

Volatility estimators are a useful tool in volatility trading and risk management. We have discussed several types of volatility estimators, ranging from the simple Close-to-Close Historical Volatility to more complex ones like the Garman-Klass-Yang-Zhang volatility. As discussed in Reference , volatility estimators can also be used directly in delta-one trading …

# What is Econometrics And Its Importance?

We have previously presented the application of econometric techniques such as ARIMA and GARCH for estimating volatility, time series analysis for identifying trending/mean-reverting properties of stock indices. In this article, we are going to look into what econometrics is and its importance. Several theories or models explain how economics works. …

# Forecasting Implied Volatility with ARIMA Model-Volatility Analysis in Python

In a previous post, we presented theory and a practical example of calculating implied volatility for a given stock option. In this post, we are going to implement a model for forecasting the implied volatility. Specifically, we are going to use the Autoregressive Integrated Moving Average (ARIMA) model to forecast …