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RV Investor Industry Forecast 2006
to 2011
6/27/2006
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In
The Economy and RV Sales
we identified a number of macroeconomic factors that correlate with RV
industry retail sales. RV Investor has developed a simple, objective,
model that incorporates these factors to predict retail recreational
vehicle sales. Furthermore, the inputs to the model can be easily
obtained from numerous sources of macroeconomic data including the
Congressional Budget Office, the
Federal Reserve, and the
Economic Report of the
President. The Recreational
Vehicle Industry Association (RVIA) is the best source for industry
shipment data and trends.
The
model is a simple regression model with each predictor assigned a weight
based on historical correlation dating back to 1978. Gross Domestic
Product (GDP) and Personal Consumption Expenditures (PCE) are the best
predictors by far but we also know that interest rates, income tax
rates, unemployment, and gas & oil prices as a percent of PCE all exert
either upward or downward pressure on RV retail sales. But unlike our
previous one year prediction, we have attempted to extend the same basic
model and to further refine from 2006-2011.
Lets start
with the basic assumptions that drive the model. These are based on key
historic economic variables as forecasted by government agencies as
listed above. None of the inputs were massaged. Regression analysis was
used to correlate RV sales to these factors. Table 1 below summarizes
the regression variables. Note the high correlation between GDP/PCE and
RV sales and the sharp drop-off in correlation with the Prime Rate, Tax
Rate, Unemployment and the percentage of PCE that goes towards Gas and
Oil.
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Table
1
- Regression Variables |
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Regression Results |
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Variable |
R2 |
b |
m |
Weight |
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GDP |
0.88 |
-1.653576 |
0.001184 |
0.38 |
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PCE |
0.89 |
-1.168983 |
0.001648 |
0.39 |
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Prime Rate |
0.25 |
0.001278 |
-0.000041 |
0.11 |
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Tax Rate |
0.10 |
0.002322 |
-0.007866 |
0.04 |
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Unemployment |
0.10 |
0.001292 |
-0.000063 |
0.04 |
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Gas & Oil |
0.08 |
0.001191 |
-0.009492 |
0.04 |
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Figure 1 below
shows the correlation between GDP and RV Retail Sales. As you can see
the correlation is quite good with an R2 of 0.88. |
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Figure 1 - GDP vs. RV Retail Sales |
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Figure 2 below
also shows that Retail RV Sales as a % of GDP has been climbing. In our
opinion this is driven by favorable demographics as shown in Table 2. |
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Figure 2 - Retail RV Sales as a % of GDP
have Averaged 0.09% Historically |
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The next most
important factor with regards to RV Retail Sales is Personal Consumption
Spending as shown in Figure 3. The correlation factor, R2, is
0.89. |
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Figure 3 - PCE vs. RV Retail Sales |
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Likewise,
Retail RV Sales as a % of PCE have also been growing as show in Figure
4. |
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Figure 4 - Retail RV Sales as a % of
PCE have Averaged 0.14% Historically |
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Figure 5 below
shows that RV Retail Sales have been climbing since the early '90s
relative to GDP and PCE. We believe this is largely attributable to
higher disposable income during the '90s economic boom aided by
favorable demographics as shown in Table 2. |
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Figure 5 - RV Retail Sales $ Value vs.
Percent of GDP and PCE |
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Interest rates
actually play a larger role than indicated by the correlation (R2
0.25)to sales, especially with large ticket items such as Class A
motorhomes or large towable trailers where the interest payment can
easily exceed 75% of the cost of ownership. The Prime Rate that
corresponds to the historical average of RV sales as a percent of
GDP (RVGDP% of 0.09%) is about 9%. In other words, when the prime rate
is above 9%, it exerts downward pressure on RV sales whereas when it is
below 9%, it is favorable for RV sales. Interest rates are headed
upwards so we expect to see somewhat of a slowing effect on RV sales
although we are still below the 9% level. |
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Figure 6 - Prime Rate vs. RV Sales as a
Percent of GDP |
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Federal tax
receipts as a percent of GDP play even less of a role as interest rates
with an R2 of 0.10. The rate that corresponds to our RVGDP%
figure is 19%. |
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Figure 7 - Tax Receipts as a Percent of
GDP vs. RV Sales as a Percent of GDP |
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Unemployment
becomes a net drag on RV retail sales when it exceeds 6.25%. While the
correlation factor is low at 0.10, high unemployment goes along with low
consumer confidence and therefore less spending on large ticket items.
The saying in the industry is that no one has to have an RV! |
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Figure 8 - Unemployment vs. RV Retail
Sales as a Percent of GDP |
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With Oil
prices North of $70/barrel and record increases at the pump, expect RV
sales to take a hit in 2006 and going forward until prices at the pump
stabilize. Historically, rapid increases at the pump have correlated
with slowing or declining RV sales. |
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Figure 9 -Retail RV Sales vs. CPI
Adjusted Fuel Prices |
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While not used
explicitly in our forecast model, Census Bureau projections show that
there will be growth in the prime demographics for RV buyers,
particularly those in the 45-64 age group who tend to purchase the
higher end towable trailers and motorhomes. |
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Table 2 - Census Bureau Demographic
Projections |
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Population (000) |
2000 |
2005 |
2010 |
2020 |
2030 |
2040 |
2050 |
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Total Population |
282,125 |
298,000 |
308,936 |
335,805 |
363,584 |
391,946 |
419,854 |
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Aged 0-4 |
19,218 |
20,483 |
21,426 |
22,932 |
24,272 |
26,299 |
28,080 |
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0-4 as % of Total |
6.8% |
6.9% |
6.9% |
6.8% |
6.7% |
6.7% |
6.7% |
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Aged 5-19 |
61,331 |
62,202 |
61,810 |
65,955 |
70,832 |
75,326 |
81,067 |
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5-19 as % of Total |
21.7% |
20.9% |
20.0% |
19.6% |
19.5% |
19.2% |
19.3% |
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Aged 20-44 |
104,075 |
105,339 |
104,444 |
108,632 |
114,747 |
121,659 |
130,897 |
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20-44 as % of Total |
36.9% |
35.3% |
33.8% |
32.3% |
31.6% |
31.0% |
31.2% |
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Aged 45-64 |
62,440 |
72,049 |
81,012 |
83,653 |
82,280 |
88,611 |
93,104 |
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45-64 as % of Total |
22.1% |
24.2% |
26.2% |
24.9% |
22.6% |
22.6% |
22.2% |
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Aged 65-84 |
30,794 |
32,719 |
34,120 |
47,363 |
61,850 |
64,640 |
65,844 |
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65-84 as % of Total |
10.9% |
11.0% |
11.0% |
14.1% |
17.0% |
16.5% |
15.7% |
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Aged 20-44 |
4,267 |
5,207 |
6,123 |
7,269 |
9,603 |
15,409 |
20,861 |
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85+ as % of Total |
1.5% |
1.7% |
2.0% |
2.2% |
2.6% |
3.9% |
5.0% |
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Source: Census Bureau |
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Table 3 lists
the economic assumptions used in the model as mentioned earlier, these
are from government forecasts, they too are subject to errors. The
source of the errors are event that can not be predicted based on
history - energy shortages due to war or poor policy, recessions, over
exuberant markets that come crashing down later (like tulips or more
recently dotcoms).
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Table 3 - Economic Assumptions for Five
Year Forecast |
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Economic Indicator
Assumption |
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Independent Variable |
2006 |
2007 |
2008 |
2009 |
2010 |
2011 |
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GDP |
13,262 |
13,959 |
14,657 |
15,390 |
16,159 |
16,967 |
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PCE |
9,283 |
9,771 |
10,260 |
10,773 |
11,312 |
11,877 |
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Prime Rate |
8.0% |
8.0% |
8.0% |
8.0% |
8.0% |
8.0% |
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Tax Rate |
17.3% |
17.9% |
17.9% |
18.0% |
18.0% |
18.7% |
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Unemployment |
4.8% |
5.2% |
5.2% |
5.2% |
5.2% |
5.2% |
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Gas & Oil as % of PCE |
4.0% |
4.5% |
4.5% |
4.5% |
4.5% |
4.5% |
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Source: CBO, GAO,
Economic Report of the President, Federal Reserve |
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Tax rates,
unemployment an gas & oil expenditures as a percent of total PCE
definitely have a slowing effect on RV Retail Sales. However, the single
most important factors that caused negative growth since 1979 are recessions and
fuel crisis as illustrated in Figure 10 below. 1978-80 saw lines at the
pump and double-digit interest rates. Even so, 1981 and 1982 managed to
show some pretty good growth leading to a whopping 85% growth in 1983.
The Gulf War and the early Clinton years lacked luster but as the 90's
began to boom, so did RV industry sales, at least until the dot-bust of
2000-01. Over the 27 year period from 1979 to 2005, the industry saw 8
down years or 30% |
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Figure 10 - RV Retail Value Year on Year Change |
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Admittedly, there can be significant
errors in statistical models that rely on historical data as their basis
and forecasts or estimates, even short-term ones, as inputs. However,
statistical models do not suffer from personal bias and its own
peculiarities. Unpredictable events by definition can't be predicted:
terrorist attacks, geopolitical events such as Iraq. the looming
conflict with Iran
and North Korea, earthquakes in California, hurricanes in the southeast.
Not much that you can do other than to take the obvious protections that
few practice.
From a
business structure point of view, the key needs to be flexibility. In
general, any RV business should be prepared to take advantage of 20-30%
upturn in any given year as well as a 10% downturn that may last up to
three years. Flexibility has to be part and parcel of a company's manufacturing
strategy both internally as well as through the supply chain. This topic
will be discussed in a separate article.
Figure 11 below
uses simple regression analysis performed on nearly 30 years of historical
data. All those of us with an MBA or who follow the market know that
past performance is not indicative of future performance and that any
given year may be higher or lower than the forecast based on
unpredictable
factors such as those mentioned above. Let's face it, modeling the macro economy and
resulting consumer behavior is like predicting who will win the
world series at the beginning of the season based on past season stats
or even worse, trying to predict global warming based on CO2
emissions with "input data" that has a larger error bar than the predicted
change! [Editor: Global Warming is a natural process driven by much
larger and more complex systems than the economy and we can't even
accurately predict that! Sorry, but I couldn't resist taking a shot at
that piece of junk science.]
Even so, RV
Investor believes that as long as the assumptions are provided for all
to see, the reader can make up their own mind. We would be happy to
collaborate with anyone to modify / improve / or clarify the model to
make it more useful.
We are
forecasting a dip in 2006 simply because 2005 was an extraordinary year.
Given the economic uncertainty, rising gas prices, and rising interest
rates, we believe there will be a 6.2% dip with nominal growth of 5.3%
expected to resume in 2007. Notice that I said nominal growth. Growth
has never been nominal in the industry as pointed out earlier. The real
takeaway message should be that while the RV industry is not a
barnburner, that it will continue to see steady growth barring
unforeseen events that effect the overall economy. |
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| Figure 11 - RV Retail
$ Sales Forecast |
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| The Class A Motorhome percentage of
overall RV sales has been about 42% and is from our perspective the most
interesting portion of the market because of its size but also because
of its "lifestyle" component. For those reasons, you will continue to
see target coverage of this market segment on our web. |
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| Figure 12 - RV Retail
$
Class A Motorhome Sales
Forecast |
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