Academic Research Insight:
George Bittlingmayer,
“Output, Stock Volatility, and Political Uncertainty in a Natural Experiment: Germany, 1880–1940” (Published in The
Journal of Finance, Vol. 53, No. 6 (Dec., 1998), pp.2243-2257)
Published by: Blackwell
Publishing for the American Finance Association).
I. Research Background:
a. The theory of investment under uncertainty implies
that political uncertainty may simultaneously increase volatility and reduce
output.
b. Schwert (1989b) points out in
a
more general context, we can easily construct
links between volatility
and the business cycle,
but causation is hard to pin
down.
c.
Political uncertainty may represent an exogenous factor.
d. Until the start of World
War I in 1914, Imperial Germany had a stable, limited government.
e. Weimar Germany after
the war was marked by
revolution;
i.
Unstable republic
ii.
Insurrection
iii.
The rise of
anti-capitalist parties on the left and
right
iv.
Hyperinflation
v.
Protracted struggle over
reparations
f.
Economic historian Gerald Feldman (1993) calls the
period from 1914 to 1924
“ The Great Disorder.”
II. Purpose: The
purpose of this study is to examine at stock volatility and output in a case
marked by a clear exogenous political shock.
III. How this
paper differs from its predecessors;
- This
paper adopts a different strategy and examines a dramatic political shift. In
contrast to the United States, where the sources of volatility are subtle or
controversial.
IV. Importance
of the Study: The study is quite important in the given research
context because it aims to bridge the gap between empirical research works and
real research evidences of stock volatility and
output in a case marked by a clear exogenous political shock.
V.
Literature
Review:
a.
The Authors have made number of related literature
review.
b. Huang
and Kracaw (1984), Schwert (1989a),
Romer(1990), Pindyck (1991a): the causal link
between volatility and business
slumps is unclear. Slumps may
cause volatility, volatility may cause slumps, or both may
be the consequence of some other, more
clearly exogenous factor.
c.
Pindyck’s (1991b) review of the literature on
uncertainty and irreversible
investment also notes that political uncertainty may depress investment.
d.
Fama (1990) and Schwert (1990) show
that real and financial factors explain
about
half of the variance in annual returns.
VI.
Data
Collection:
a.
Output: For the period from 1880 through1913, the study
uses the production index from Hoffmann (1965). This series is based on a variety of industries
covering metals, metal working, chemicals, textiles, food, utilities, and construction.
- For the
period from 1914 to1924, The study uses
the esti- mates of national income from
Witt (1974). Witt’s estimates
are based on tax information.
- For 1925
to 1940, it uses the industrial
production series in Petzina, Abelshauser, and Faust (1978).
b.
Stock Index: The
stock price index stems from Gielen (1994), who
brings together information from
various sources to construct a real, dividend-adjusted series for
the period 1870 to 1993.
-For the years up to 1913, the series is composed of a simple average of 20 large stocks until 1889. Starting in 1890, the series becomes a capitalization-weighted average of 48 stocks. The series was further expanded to 71 stocks in 1905.
VII.
Methodology:
a.
The transition from
Imperial to Weimar Germany offers
a natural experiment.
b.
Author makes three contributions to the study of stock volatility:
i.
The switch in
regimes throws light on the sources of volatility: Stock volatility was low before
1914, it increased markedly after
the war.
ii.
The author
use the theory of investment under
uncertainty to build a
natural connection between
political uncertainty, stock volatility,
and output.
iii.
Empirical
results for Germany confirm earlier
work for the United States; volatility increases before and
during business slumps.
c.
Use of
graph is well predicted with Summary Statistics for German Stock Returns and Changes in Output,
finding mean, geometric mean and standard deviation.
d.
Regression
analysis is done taking lagged changes in log volatility and introducing dummy
variables of deflation and world war I.
e.
See Table I: Summary
Statistics for German Stock Returns and
Changes in Output, 1880–1940.
f.
See Table II: Regression of changes in industrial
production on current and lagged changes
in volatility and changes in stock
prices:
ln (IPt
) - ln(IPt-1) = a + b1 [ln(SDt) - ln(SDt-1)]
+ b2 [ln(SDt-1) – ln(SDt-2)] + b3 [ln(St)
– ln(St-1)] + et
g.
See Table III: Regression
of Annual Percentage Changes in Production on
Changes in Current and Lagged Log
Volatility, the Rate of
Deflation, a World War I Dummy, and Stock Returns, 1880–1940
ln (IPt
) - ln(IPt-1) = a + b1 [ln(SDt) - ln(SDt-1)]
+ b2 [ln(SDt-1) – ln(SDt-2)] +b3DEFLATt
+b4WWIt
+ b5 [ln(St) –
ln(St-1)] + et
VIII.
Major
Findings: See fig.
1, 2 & 3 and table I, II & III for detail.
a.
German stock
prices experienced a one-time down- ward shift in the
1914 to 1920
period, coincidental with the
war and its consequences.
b.
Stock
returns became more volatile temporarily at the
beginning of the war, then especially at the end of
the war
and in the early and
mid-1920s, and again in the
early 1930s.
c.
The s.d of
monthly returns was 2.46 percent for
1880 to 1913, 17.26 percent for 1914 to 1923 (World War I through the hyperinflation of 1923), and
7.04 percent for 1924 to 1940.
d.
The
geometric mean monthly real return
was 0.45 percent for the period 1880
to 1913. It declined to 21.18
percent for 1914 to 1923, and
increased to 0.71 percent for 1924
to 1940.
e.
Stock
volatility increased dramatically after 1913.
IX.
Limitations of the study:
a.
Making regression analysis, no test is mentioned regarding the model
specification error, Normality test for residuals, Heteroscedasticity,
Multicollinearity and Autocorrealation problem, if any in the model.
X.
Further scope of the study:
a.
Future
work on
Germany would benefit from daily
stock prices and at least quarterly if not monthly output series.
b.
Future
work on the sources of stock volatility in general might benefit from the
study of other “natural experiments”—other instances in which the
political system and the stock
market experienced large, clearly identifiable exogenous shocks.
XI.
Conclusion/Implication:
a.
The study explains the sources of stock volatility:
Why was volatility high during the
Great Depression? Even for the Great Depression—the increase in German
volatility in the late teens and early and
mid-twenties seems closely linked to the
shift from ascendant empire to beleaguered republic.
b.
The start of
World War I, the 1918 Armistice, and the
political turbulence of 1920 each
pushed the German stock market down
and volatility up. Fluctuating hopes for a solution to
the reparations problem, and
the occupation of the Ruhr and
the hyperinflation of 1923 were
also associated with large
stock market movements. Finally,
the political stabilization of Germany in
the mid and late 1920s was
accompanied by steadily declining volatility.
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