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[世界经济热点] [专题系列] The Price of Political Uncertainty (附最新文献4篇)   [推广有奖]

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The Price of Political Uncertainty - 政治(政策)不确定的代价有多大?


政治(政策)的不确定性到底是如何影响金融市场的呢?芝加哥大学教授Kelly, PastorVeronesi试图研究这两者的关系。理论上来讲,用金融产品(期权)来避免此不确定性的成本(风险溢价)很高。尤其是在经济趋弱的时候。政治(政策)的不确定会抑制投资,并打乱市场定价功能。(附最新文献4篇)


Amid the 2008 financial crisis, political uncertainty around the worldreached record levels and has remained elevated ever since (Baker et al. 2013).While uncertainty is a natural feature of even the healthiest political processes, its recent surges have been in large part self-inflicted, for example, by the stubbornly dysfunctional discourse in the US Congress. What is the price we pay for cultivating an uncertain political climate?


Equity markets are an informative gauge of the price of political uncertainty. They reveal investors' assessments of how political risks impacteconomic activity into the indefinite future, conveniently summarised inpresent value terms. Day after day, stock prices react to news about what governments around the world have done or might do. For example, on 3 March2014, European stocks lost about 3% of their value after the Russian parliament approved President Putin's request to use Russian military forces in Ukraine.Russian stocks fell by more than 10%. These price drops were partially reversedon the following day when President Putin broke his silence and fears of alarge-scale military confrontation eased.


For a more peaceful example, when European politicians announced a dealcutting Greece’s debt in half on 27 October 2011, US stocks gained 3%, whileFrench and German stocks soared by more than 5%, presumably in response to theincreased likelihood of the preservation of the Eurozone. Early in thefollowing week, stocks gave back all of those gains when Greece’s primeminister announced his intention to hold a referendum on the deal. When otherGreek politicians voiced their opposition to that initiative, stocks rosesharply again. It is stunning that the pronouncements of politicians caninstantly create or destroy hundreds of billions of dollars of market valuearound the world. Despite the obvious ties between political uncertainty andglobal financial markets, little work has carefully studied the nature of thisconnection.


A new theoretical framework

In Pastor and Veronesi (2012, 2013) and Kelly et al. (2014), we offer atheoretical framework for evaluating the influence that political uncertaintyexerts on financial markets. In our model, the equity premium, which summarisesthe extent to which investors discount future economic activity to reachcurrent market values, depends crucially on political uncertainty. Thepredicted association is intuitive — the political risk premium is larger whenthe prevailing degree of political uncertainty is high, and it is also largerin weak economic conditions. When the economy is weak, government-relatedchanges are more likely. For example, governments are more likely to changetheir policies, and voters are more likely to replace governments. Sincegovernment-related changes affect all firms, they cannot be diversified away.Therefore, news about what might happen – which we label ‘political shocks’ –can have a large impact on stock prices. This theoretical prediction isillustrated in Figure 1. The figure shows the equity risk premium as a functionof economic conditions, and decomposes it into the premia associated withpolitical risks (red) and non-political risks (blue and green). In poorconditions, the odds of a governmental shake-up soar and the political riskpremium dominates the equity premium.

Figure 1
fig1.png



The empirical challenge
Assessing the market impact of political uncertainty in the data is a challenge. This uncertainty may depress prices and economic activity but, as the model shows, an economic decline can also precipitate politicaluncertainty. It is difficult to distinguish the cause from the effect. How canwe measure the impact of political risk on financial markets? In Kelly et al.(2014), we offer an answer. Our approach tracks equity index option prices from 20 countries around national elections and global summits.

Elections and summits are well suited for our analysis because they can result in major policy shifts and, since their dates are usually determined farin advance, they are a source of exogenous variation in political uncertainty.

Options are ideally suited for this analysis for two reasons.
  • First, they have relatively short maturities, which we can choose to cover the dates of political events. An option whose life spans a political event provides protection against the risk associated with that event. Since the political event is often the main event that occurs during the option’s short life, the option’s price is informative about the value of protection against political risk.
  • Second, options come with different strike prices, which allow us to examine various types of risk associated with political events, such as tail risk.

We calculate three option-market variables: the implied volatility of an at-the-money option, the slope of the function relating implied volatility to moneyness, and the variance risk premium. These variables capture the value of option protection against three aspects of risk associated with politicalevents: price risk, tail risk, and variance risk, respectively. To take out non-political effects, we normalise each variable with respect to nearbyoptions that do not span the political event.

Political uncertainty is priced
We find that at-the-money options whose lives span political events are onaverage 5% more expensive than neighbouring options that don't span the event. Furthermore, the well-known implied volatility smirk dramatically steepens around such events as investor demand for insurance against tail events soars. For example, among put options that are 10% out-of-the-money (and thus provide better protection against tail risk than at-the-money options), options whose lives span political events are more expensive by 16% compared to neighbouring options. We also find that political events are associated with abnormally high variance risk premia, so that insurance against variance risk is also more expensive ahead of such events. All three option-market variables take larger values in weaker economicconditions. For example, at-the-money options providing protection against political events are 8% more expensive when the economy is weak but only 1% more expensive when the economy is strong.

The European sovereign debt crisis is once again highly illustrative.Leading up to the Greek elections in 2012, those elections were widely viewedas a de facto referendum on Greece’s continuation as a member of the Eurozone.With one of the leading political parties proposing renegotiating Greece’ streaty with Europe, a plausible election outcome would have involved a Greekexit from the Eurozone, with uncertain consequences for other vulnerable Eurozonemembers such as Italy and Spain.Shortly before the Greek elections, the average ‘excess’ implied volatilityacross all European countries was five times larger than its full-sample mean,indicating an unusually high price of political uncertainty. The countries whose options were the most affected by these elections were Spain and Italy,which were arguably ‘next in line’ to exit the Eurozone after Greece. Theeffects on Germany and France, the key Eurozone players, were also large. Incontrast, the least affected European countries were Sweden and Switzerland, neither of which is a Eurozone member.

Another prominent example is the US presidential election on 4 November 4,2008 (Obama vs. McCain), and the nearby G20 summit on 14-15 November 2008. The US excess implied volatility in November 2008 exceeded the full-sample mean by a factor of eight! It makes sense for such a ‘double-whammy’ event to experience large pricing effects: options expiring after two political events should be more valuable as they provide protection against the political risks associated with both events.These two anecdotes reflect the price implications that we identify throughout our sample of political events. Figure 2 shows our measure of excess implied volatility, labelled IVD, for each observation in our sample as afunction of prevailing economic conditions.

Figure 2

fig2.png

Economic conditions are measured by either recent stock market return (leftpanel) or GDP growth (right panel). Black dots are global summits and yellowsquares are national elections.

Conclusions
These plots highlight two conclusions from our analysis.
  • First, insurance against political uncertainty is expensive, on average.
  • Second, this insurance tends to be more expensive when the economy is weaker.
We obtain similar results for the prices of the variance and tail risks associated with political events. Despite the salience of political uncertainty, our understanding of itseffects on financial markets is only beginning to emerge. We show that political uncertainty commands a risk premium, especially when the economy is weak. By raising the firms’ cost of capital, political uncertainty depresses investmentand real activity. Furthermore, by raising risk premia, political uncertainty destroys market value. Perhaps we should ask reckless politicians to chip in.

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