Airfare Volatility Tracking
FairFly has access to and analyses billions of air travel data points to produce the Airfare Price Volatility Index – the higher the number the more volatile pricing is
Airfare Price Volatility Index
The FairFly Airfare Price Volatility Index shows the magnitude of fluctuations by which airlines are repricing flights and their deviation from the previously filed fares. At times where volatility is high, there is a far higher risk of paying too much for business travel. It also demonstrates the importance of using a price assurance and airfare price tracking tool in order to mitigate that risk.
Methodology & Data Sources
Extracting relative price changes on a minute-by-minute basis from the FairFly Faresaver engine. FairFly is able to determine the relative volatility of the millions of fares that are tracked and the billions of data points we analyse. Based on deviations from the filed and booked fares we can determine for any given period the relative volatility of airfare prices.
Month | Airfare Price Volatility Index |
---|---|
January 2020 | 85.8 |
February 2020 | 94.8 |
March 2020 | 81.0 |
April 2020 | 65.3 |
May 2020 | 34.8 |
June 2020 | 48.7 |
July 2020 | 122.6 |
August 2020 | 148.4 |
September 2020 | |
October 2020 | |
November 2020 | |
December 2020 |
Airfare Price Change Index
The FairFly Airfare Price Change Index is a measure of how frequently airlines are repricing flights and is a reflection on certainty around market conditions, competitor pricing as well as supply and demand.
Methodology & Data Sources
Extracting the frequency of price changes made by airlines on a minute-by-minute basis from the FairFly Faresaver engine. FairFly is able to determine and index how often airlines are updating their fares. Based on relative volumes FairFly produces a standardized industry benchmark using the billions of data points the platform analyzes.
Month | Airfare Price Change Index |
---|---|
January 2020 | 124.3 |
February 2020 | 84.4 |
March 2020 | 80.1 |
April 2020 | 141.2 |
May 2020 | 104.2 |
June 2020 | 73.36 |
July 2020 | 120.3 |
August 2020 | 195.3 |
September 2020 | |
October 2020 | |
November 2020 | |
December 2020 |
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