Piotroski F-Score is a value investing strategy, which
was published by Joseph D Piotroski in 2002. The exact title of the paper is “Value
investing: The use of historical financial statement information to separate winners
from losers.
For a better understanding of the strategy and its exact
economical intuitions, I strongly recommend you to read the paper by following
the link - Piotroski F-Score
By introducing this strategy to my readers I only mean
that you can use this as a tool to identify some good stocks which are
neglected by the market. This article doesn’t give you a strategy to analyze the whole universe of stocks. Researchers found this strategy works really fine and
had given an annualized return of 23% from 1976-1996. It is really huge.
What
is value investing?
Value investing generally pick up stocks which were neglected by
the market, after sometime market realizes these are good stocks and then the price goes up.
What
Piotroski actually did?
Piotroski F-Score strategy giving an algorithm to identify the subset of stocks within the value stocks which is going to outperform the
others.
Where
I can apply Piotroski F-Score?
This strategy applies to the stocks having a high book to market value. The research found that financially strong high BM stocks give an increased return of 7.5%
annually than buying all high BM stocks.
Algorithm
Piotroski F-Score has three measures each having components,
total of nine components.
1. Profitability
measures
2. Capital
structure measures
3. Operational
efficiency measures
Each measure are further divided,
1.
Profitability
measures
i.
Return
on Assets (ROA)
· Net
income before extra-ordinary items scaled by the beginning of the year total
assets.
· If
the firm's ROA is positive, then indicator variable F_ROA
is equal to 1. Zero otherwise.
Note: - Extraordinary item means, the items which
are not included in their primary business (If a pharma company sells their
land, it is an extraordinary item. Because their primary products are medicine).
Note: - Beginning of
the year’s asset is obtained from the last year’s annual report.
ii.
Cash
flow from operations(CFO)
· It
is defined as the cash flow from operations scaled by beginning year’s total
assets.
· If
CFO is positive F_CFO is equal to
one otherwise zero.
iii.
ΔROA
· It
is the current year's ROA less the previous year’s ROA.
ΔROA = Current year’s
ROA – Previous years ROA
· If
ROA is positive then, F_ΔROA is 1. Zero otherwise.
iv.
Accrual
· It
is defined as the current year’s net income before extraordinary items less
cash flow from operations, scaled by the beginning of the year total assets.
· If
CFO greater than ROA, i.e. Accrual negative implies F_ACCRUAL
equals one. Zero otherwise.
2.
Capital
structure measures
v.
ΔLEVER
· It
is the difference in the value of the ratio of total long term debt to average
total for the current year and the previous year.
· ΔLEVER=
Current year’s leverage – Previous year’s leverage
· F_LEVER
equals one if ΔLEVER is negative, otherwise zero.
vi.
ΔLIQUID
· It
is the historical change in the firm’s current ratio between the current year
and the prior year. Where the current ratio is the ratio of current assets to
current liabilities.
·
F_LIQUID is
one if ΔLIQUID is positive, zero otherwise.
vii.
EQ_OFFER
· It is an indicator variable
whose value is equal to one of the firm did not issue common equity in the year
preceding portfolio formation, zero otherwise.
3.
Operational
efficiency measures
viii.
ΔMARGIN
· It is the firm’s
current gross margin ratio (gross margin scaled by total sales) less the prior
year’s gross margin ratio.
·
F_MARGIN equals
one if ΔMARGIN is positive, otherwise zero.
ix.
ΔTURN
· It
is the firm’s current year’s asset turnover ratio (total sales scaled by
beginning of the year’s total assets) less than the prior year’s asset turnover.
· F_ΔTURN equals one if ΔTURN is positive, zero otherwise.
Composite
score
F-Score is the sum of the individual binary signals.
Given the nine underlying signals, F-Score can range from 0 to
9. Where a low F-Score represents a firm with very few good signals and vice
versa.
So you can long the stocks having high F-Score.
When
to trade?
As early as the financial statements are publically available.
Key
point: - In
actual case it is very risky to hold a portfolio having stocks of high book to
market value. So I am suggesting you adopt this method to analyze high BM stocks
and to find potential multi-baggers from this universe of stocks. For this you
have to invest time in this strategy and your skills will give you some
potential stocks.
Use Excel to analyze data and also use screeners like tickertape.in, screener.in to find out high BM stocks.
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