Calculate Inflation

Posted on 2013-12-18
Last Modified: 2014-01-11
I have the below requirement to fulfil. How to achieve this simplistically.

There is an inflation rate table as below

2009, 5%
2010, 5%
2011, 5%
2012, 5%
2013, 5%

I need to first get
2009, 5%, 5
2010, 5%, 5.25             - which is 5% over 5
2011, 5%, 5.5125         - which is 5% over 5.25
2012, 5%, 5.788125     - which is 5% over 5.5125
2013, 5%, 6.07753125 - which is 5% over 5.788125

And then get
2009, 5%, 5                  , 5
2010, 5%, 5.25             , 10.25              = 5.25 + 5
2011, 5%, 5.5125         , 15.7625          = 5.5125 + 10.25 and so on
2012, 5%, 5.788125     , 21.550625
2013, 5%, 6.07753125 , 27.62815625

Using SQL Server 2008 R2 or above
Question by:bvRocks
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LVL 69

Accepted Solution

Scott Pletcher earned 167 total points
ID: 39727754
DECLARE @start_year int
SET @start_year = 2009

    yi.year, yi.int_rate * 100 AS int_rate, prev_yr.prev_yr_int, curr_yr.curr_yr_int
    SELECT 2009 AS year, CAST(0.05 AS float) AS int_rate UNION ALL
    SELECT 2010 AS year, CAST(0.05 AS float) AS int_rate UNION ALL
    SELECT 2011 AS year, CAST(0.05 AS float) AS int_rate UNION ALL
    SELECT 2012 AS year, CAST(0.05 AS float) AS int_rate UNION ALL
    SELECT 2013 AS year, CAST(0.05 AS float) AS int_rate    
) AS yi
    SELECT yi.year - @start_year + 1 AS year_count
) AS year_counts
    SELECT 100 * POWER(1 + yi.int_rate, year_counts.year_count) - 100 AS curr_yr_int
) AS curr_yr
    SELECT curr_yr.curr_yr_int - (100 * POWER(1 + yi.int_rate, (year_counts.year_count - 1)) - 100) AS prev_yr_int
) AS prev_yr
    yi.year >= @start_year
ORDER BY yi.year
LVL 59

Assisted Solution

by:Kevin Cross
Kevin Cross earned 167 total points
ID: 39727758
One solution is to use a common table expression.

WITH cte(Yr, Pct, PctOfOriginal, TotalPct) AS (
         , CONVERT(DECIMAL(10,8), Pct)
         , CONVERT(DECIMAL(10,8), Pct)
         , CONVERT(DECIMAL(10,8), Pct)
    FROM your_table
    WHERE Yr = 2009


    SELECT nxt.Yr
         , CONVERT(DECIMAL(10,8), nxt.Pct)
         , CONVERT(DECIMAL(10,8), (1+prv.TotalPct)*(1+nxt.Pct)-(1+prv.TotalPct))
         , CONVERT(DECIMAL(10,8), (1+prv.TotalPct)*(1+nxt.Pct)-1)
    FROM cte prv
    JOIN your_table nxt ON nxt.Yr = prv.Yr+1
    WHERE nxt.Yr <= 2013
FROM cte

Open in new window

The idea is to step through the small list of years and use values from previous calc.  You could do this with subqueries also, but thought the CTE approach was a little more manageable.  You may not need the CONVERT code, but recursive query needs same data type in the anchor and recursive queries.

In SQL 2012, you may be able to leverage the enhanced features of the OVER() analytic clause with functions like SUM() as well as the LEAD() and LAG() functions.
LVL 59

Expert Comment

by:Kevin Cross
ID: 39727764
Scott, I did not see your post.  I think I like the use of the compound interest formula better than my approach.  I think I saw a table and thought the rates could change each year.
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LVL 32

Expert Comment

ID: 39732294
Assuming the rate of 5% is stored as .05 -
select x.year, x.rate, power(1 + x.rate,rn - 1) * 100 * x.rate as newrate, 100 * (power(1 + x.rate, x.rn) - 1) as cum_rate from
(select year, rate, row_number() over (order by year) rn
 from inflation_rate) as x
LVL 32

Assisted Solution

awking00 earned 166 total points
ID: 39732305
If 5% is stored as 5 -
select x.year, x.rate, power(1 + (x.rate/100),rn - 1) * x.rate as newrate, 100 * (power(1 + (x.rate/100), x.rn) - 1) as cum_rate from
(select year, rate, row_number() over (order by year) rn
 from inflation_rate) as x

Author Comment

ID: 39739728
Trying to understand CROSS_APPLY... What does it do?
LVL 59

Expert Comment

by:Kevin Cross
ID: 39739927

In the above, it allows you formulas across each row of the query like you would in the SELECT; however, performing these functions in a CROSS APPLY allows you to use the derived column name in subsequent portions of the query.  For example, the year_count appears in the current and previous interest formulas.

Author Closing Comment

ID: 39773031
Thanks so much for giving the precious time. Much appreciated!

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