Evidence
Evidence for snyphr.com in the domain of insolvency prediction
On 9th November 2023 we imagined we were in April 2022
We made predictions on April 2022 data
There are two stages: calibration and backtesting
Calibration establishes settings achieving near-perfect prediction
Prediction is literal prediction
Calibration results
London firms had an insolvency rate of about 1%
Snyphr considered 10 samples of 100
1 true positive and 99 true negatives is a 2/100 chance, p=0.02
2 true positives and 98 true negatives is a 4/10000, p= 0.0004
Across 10 such samples Snyphr got 9 completely right
There was one false positive
Prediction back test
Considering firms reporting in Apr 2022
Snyphr ran ten times and predicted 10 firms to have an adverse outcome
7 of them were dissolved, liquidated, struck off, bought, etc.
3 were in distress with negative equity, etc.
These links are in alphabetical order
You might want to know about our business model.
business model
You might want to know about our coding discipline and open source.
coding and open source
You might want to know how to contact us.
contact
You could go to our home page.
company home
These are our products.
products
You might want to know about our staff.
staff
Here is snyphr's own page.
snyphr.com
You might want look at the tech and evidence outline.
technical evidence outline
You could take a look at our values.
values
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