## How to Perform Net Realizable Value (NRV) Analysis

Accounting standards (IRFS and US GAAP) require that we apply a conservatism principle when we assess the value of assets and transactions. The Net Realizable Value (NRV) is the amount we can realize from an asset, less the disposal costs. The most often use of the method is when we Read more…

## Accounts Receivable Aging Report in Excel

The Receivables Aging (or Ageing, if you prefer British English) report is a tool that lists all unpaid customer balances by pre-defined date ranges (buckets). It shows the relationship between open invoices and their due dates. It is the primary tool to determine overdue balances for collection. It’s useful for Read more…

## Hypothesis Testing for Complete Beginners

Gathering data in itself is meaningless unless we can analyze it and draw powerful insights. What makes data interesting is the ability to evaluate and interpret it. Hypothesis testing refers to a term in statistics where we, as the analysts, evaluate an assumption related to a data set parameter. Based Read more…

## How to Run a Two-Way Analysis of Variance (ANOVA) in Excel

Recently, we looked at how to Perform a One-Way Analysis of Variance in Excel. In today’s article, we will take that a step further and a look at a Two-Factor ANOVA. The Two-Way Analysis of Variance (ANOVA) is a statistical test to evaluate the difference between the means of more Read more…

## Perform a One-Way Analysis of Variance (ANOVA) in Excel

The Analysis of Variance (ANOVA) has many varieties, but in essence, it has the purpose of evaluating whether factors are associated with any outcome values. And factors are categorical variables we use to group the outcome variables. In this article, we will not be focusing on the underlying statistical principles Read more…

## Seasonality and Trend Forecast with Regression in Excel

In our last article, we discussed Seasonality in Financial Modeling and Analysis. We went over an example Excel model of calculating a forecast with seasonality indexes. Today we will use regression analysis in Excel to forecast a data set with both seasonality and trend. Let’s look at the quarterly sales Read more…

## Introduction to Seasonality in Financial Analysis and Modeling

Seasonality is a characteristic of time-series where the data has predictable and somewhat regular fluctuations that repeat year over year. It is safe to assume that any pattern of data changes over one-year periods represents seasonality. It is usually driven by weather or commercial seasons. We have to differentiate the Read more…

## Forecast Sales Performance and Seasonality

We are approaching the second half of the year, and before we know it, it will be the time of year to start working on our projections for next year and the company’s annual budget. There are many complex and detailed models that we can utilize to forecast the sales Read more…

## Calculate Value in Use under IAS 36

The core underlying principle of IAS 36 Impairment of Assets is that an asset’s carrying value in the financial statements of the company should not exceed the highest amount the business can recover through its use or sale. The standard applies to all assets for which there are no impairment Read more…

## Introduction to Probability Distributions in Financial Modeling

In one of our recent articles, we looked into how to set up and run Monte Carlo Simulations in Excel. And we looked at some of the most common probability distributions, which we can apply to illustrate the uncertainty of our model’s variables. When we work on a financial model, Read more…