Candidate quality and US Senate elections

We find that candidate quality is a key determinant of US Senate election outcomes. We model the results for the last 10 US Senate election cycles, from 2012 back to 1994, for a total of 345 election contests. For the contests where an incumbent seeks re-election, a quality challenger can significantly diminish the advantage that usually attaches to incumbency. For the open-seat contests, which tend to be more competitive, candidate quality can swing a close election. Governors who seek election to the US Senate receive the largest boost, as indicated by our candidate-quality variables vector. Wave effects and presidential coattail effects are also shown to be contributing factors in certain cases.     

Uncertainty and the United States’ election effect on the economy: some thoughts and empirical illustrations

This study discusses the general impact of Donald Trump’s election on the US and European economies as well as the effect of this political news on financial markets. To this end, we discuss different hypotheses from a theoretical view and empirically illustrate these thoughts when possible. Our analysis suggests that while the expected Trump measures might boost the US economy in the short term, these actions would have negative long-term consequences in the United States. Further, this new US policy will affect European economies and destabilize financial markets while increasing uncertainty, which could constrain growth and increase the downside risk.     

Information in stock prices: the case of the 2016 U.S. presidential election

On the day before the 2016 U.S. presidential election, the odds of Hillary Clinton winning the presidency, according to political prediction markets, were above 90%. Surprisingly, Donald Trump won the Electoral College handily. In this study, we examine how movements in specific stock prices foreshadowed the eventual outcome. Specifically, we conduct a series of standard event-study tests focused on pharmaceutical companies, which became a focal point during the presidential campaign. Results show that while stocks of pharmaceutical companies significantly underperformed the market prior to the election, prices substantially increased beginning three days before the election outcome. This increase is both statistically significant and economically meaningful and robust to various event-study methodologies. These results suggest that some sectors of the stock market seemed to anticipate the election outcome.     

Convergence in US house prices

This paper analyses the convergence of US house prices. Our results confirm the existence of some degree of segmentation in the US housing market. We also provide robust evidence that the bursting of the housing price bubble has altered this market, observing different results when the sample includes information posterior to 2010. However, we appreciate different effects depending on the geographical level of disaggregation that is employed.     

The spillover effect of the US uncertainty on emerging economies: a panel VAR approach

The article quantifies the spillover effects of the United States’ (US) uncertainty shocks on emerging economies, using a panel VAR model. We find that the US uncertainty shocks are the risks, and hence drop the capital inflow, investment, consumption, export and output of emerging economies. This also induces a depreciation of emerging market currencies. As a result, our model predicts a fall in short-term interest rate of emerging economies to react against the US uncertainty shocks. Our findings partly help explain the slow recovery of the world economy after the 2008–2009 global financial crisis.     

Predicting presidential election results

The 2004 US presidential election proved again how difficult it is to predict vote shares on the basis of polls. Midday media exit polls suggested that Senator Kerry would become the 44th President. Political scientists and econometricians, led by Ray Fair, have promulgated theoretical arguments and empirical results to predict US presidential elections, using macro-economic data and political factors. Respecifying Fair's war variable to include Korea and Vietnam and removing serial correlation improves his election forecasting without public opinion poll variables. This generalized Fair model predicts President Bush's two-party vote share would be 52.3 percent, well below predictions by Fair and prestigious political scientists.     

Do different time horizons in the volatility of the US stock market significantly affect the China ETF market?

This article investigates the linear, nonlinear and time-varying Granger causality between different time horizons in the volatility of US stock market and the China Exchange-Traded Fund (ETF) market. We find evidence of linear causality from the US stock market to the China ETF market, with a bilateral nonlinear causal relationship in the longer term. Bootstrap rolling causality analysis indicates high rejection rates of a noncausal relationship running from the US stock market to the China EFT market. The causality linkage from the China ETF market to the US stock market was determined to be time-horizon-dependent, and the null hypothesis rejection rate of non-Granger causality increased in the longer term.     

The revenue potential of a financial transaction tax for US financial markets

This paper estimates the revenue potential of a financial transaction tax (FTT) for US financial markets. We focus on analyzing the revenue potential of the Inclusive Prosperity Act that was introduced in the US House of Representatives in 2012 and the US Senate in 2015. The tax rates stipulated in this Act include 0.5% (50 basis points (bps)) for all stock transactions, 0.1% (10 bps) for all bond transactions and 0.005% (0.5 bps) on the notional value of all derivative trades. We examine three sets of evidence to generate potential revenue estimates: 1) the levels of transaction costs in US financial markets over time and within the range of financial market segments; 2) the extent of trading elasticities under various trading conditions; and 3) the current level of trading activity in US financial markets. Based on this evidence, we conclude that a US FTT operating at the tax rates stated above would generate about $220 billion per year, equal to about 1.2% of the current US GDP.     

US stock market sensitivity to interest and inflation rates: a quantile regression approach

This article studies the sensitivity of the US stock market to nominal and real interest rates and inflation during the 2003–2013 period using quantile regression (QR). The empirical results show that the stock market has a significant sensitivity to changes in interest rates and inflation and finds differences across sectors and over time. Moreover, the effect of changes in both interest rates and inflation tends to be more pronounced during extreme market conditions, thus distinguishing expansion periods from recession periods.     

Young leading innovators and the EU's R&D intensity gap

Europe's innovation gap relative to the USA is often attributed to its industrial structure in which new firms do not play a significant role, especially in high-tech sectors. This view of a structural European Union (EU) innovation deficit is popular in European innovation policy discussions, but has received little or no thorough empirical investigation. This article aims to address this ‘evidence gap’. Using industrial R&D Scoreboard data from leading world innovators, we find that compared to the USA, the EU has fewer young firms among its leading innovators. Using a decomposition analysis, we show that having fewer young firms accounts for about one-third of the EU–US differential in R&D intensity, while 55% of the differential is due to the fact that young leading innovators in the EU are less R&D intensive than their US counterparts. Further analysis shows that this is almost entirely due to a different sectoral composition. We thus confirm that the EU–US private R&D gap is indeed mostly a structural issue.     

Market concentration, macroeconomic uncertainty and monetary policy

This paper studies the effect of market structure and macroeconomic uncertainty on the transmission of monetary policy. We motivate our analysis with a simple model which predicts that: (1) investment and production in more concentrated sectors are more affected by demand shocks and (2) high uncertainty makes investment and production more sensitive to demand shocks. The empirical analysis estimates the effect of monetary shocks on sectoral output for different sectors in the US using a structural vector autoregressive (VAR) approach. The results are generally consistent with the theoretical predictions.     

Oil shocks,US economic uncertainty,and emerging stock markets

This paper investigates the impacts of oil price shocks and US economic uncertainty on emerging equity markets within a structural VAR model. I find that both precautionary oil demand and US economic uncertainty shocks have significant negative effects on emerging stock returns, whereas aggregate demand shocks cause a sustained rise of the returns. In particular, the direct effects of oil shocks on emerging stock returns are amplified by the endogenous response of US economic uncertainty. Variance decomposition analysis shows that oil market fundamentals and US economic uncertainty are an important determinant of emerging equity returns, accounting for 35% and 24% of their long-term variations, respectively. The heterogeneous impacts of structural shocks on individual emerging markets, however, suggest that a well-diversified portfolio can be obtainable.     

An economic evaluation of market development programmes for US dairy products

‘This study measured the effectiveness of US dairy export promotion programmes on increasing foreign demand and enhancing producers’ revenues. An import demand equation based on panel data was used to test whether export promotion has a positive and significant impact on US dairy exports. The effects of various promotion scenarios on the dairy market were then simulated, and benefit–cost ratios (BCRs) for these programmes were estimated. There were three key findings. First, the combined effort of public and private dairy export promotion expenditures had a positive and statistically significant impact on demand for US dairy products in the world market. The findings indicated that export promotion stimulated total dairy exports by 4.14 billion pounds, on average, per year, which represented 55.8% of total exports. Second, US dairy export promotion has been highly profitable for the nation’s dairy farmers. The calculated BCRs, based on assumed elasticity of supply, ranged from a low of 8.54 for the most elastic assumption to a high of 30.12. Third, from an optimality standpoint, dairy farmers are underinvesting in export promotion. The marginal BCRs ranged from a low of 3.79 to a high of 15.22, which means that, at the margin, increasing export promotion expenditures would be profitable for dairy farmers.     

Industry shakeouts and product strategies: lessons from the US laser printer industry

Many industries experience a shakeout, which occurs when, after an initial increase, the number of firms drops significantly in a short period of time. A shakeout drives changes in the market structure and, thus, accompanying changes in firms’ strategies. In this paper, we explore differences in firms’ product strategies (i.e. product quality improvement, product line management, and product market strategy) before and after the initiation of an industry shakeout, focusing on the role of product exit. In analyzing a sample of US laser printer manufacturers and their products for the period between 1983 and 2002, we find clear differences in firms’ product exit decisions before and after the initiation of a shakeout. With these findings, our study contributes to the understanding of the link between industry shakeouts and firms’ product strategies.     

Economic announcements and the 10-year U.S. Treasury: Surprising findings without the surprise component

In the current study, we identify the announcements that trigger substantial changes in the behaviour of the 10-year US Treasury market, without using the surprise component and, therefore, expectational data. We use a novel model-free approach based on extreme market movements related to price returns, volatility and traded volumes. Our findings corroborate those of previous studies, which were based on expectational data. More importantly, though, we identify two additional announcements (Oil Inventories and the Mortgage Applications), which have not been previously reported. These findings are primarily important to financial analysts and investors.     

The 2020 US Presidential election and Trump’s wars on trade and health insurance

The trade war initiated by the Trump administration is the largest since the US imposed the Smoot-Hawley tariffs in the 1930s and was still raging when he left office. We analyze how the trade war impacted the 2020 US Presidential election. Our results highlight the political salience of the trade war: US trade war tariffs boosted Trump’s support but foreign retaliation hurt Trump. In particular, the pro-Trump effects of US trade war tariffs were crucial for Trump crossing the recount thresholds in Georgia and Wisconsin. Even more important politically, voters abandoned Trump in counties with large expansions of health insurance coverage since the Affordable Care Act, presumably fearing the roll-back of such expansion. Absent this anti-Trump effect, Trump would have been on the precipice of re-election by winning Georgia, Arizona, Nevada, and only losing Wisconsin by a few thousand votes. These effects of the trade war and health insurance coverage expansion cross political and racial lines, suggesting the mechanism operates through the impact on local economies rather than political polarization.     

Who trades quickly?

We examine differences among US equity market participants according to how quickly, on average, they execute their orders. When traders who execute faster buy (sell), market prices tend to rise (decline). Those who trade more quickly take liquidity more, use smaller trade sizes, transact more frequently, and spread their trading across more venues. Although faster traders are net liquidity demanders, they pay a lower cost to trade. Our results indicate that systematic differences exist across market participants according to how fast they transact, and those with a shorter time to execution exhibit traits that are consistent with information-based trading.     

Referendum and the choice between monarchy and republic in Greece

Drawing on the 1974 Greek parliamentary elections and constitutional referendum which abolished the monarchy, the paper employs a spatial decision model to examine the strategic use of a parliamentary election and a non mandatory referendum by an agenda setter. The parliamentary election bundles two issues, the right to form a government and the right to choose the form of state. This implies that the election campaign efforts to attract votes are different from the campaign efforts to win an election for government and a separate referendum for the form of state. The choice of the agenda setter turns out to depend on his costs of campaign efforts in the different contests relative to those of the opposition, his benefits to be gained from winning the different contests, his comparative electoral appeal and the probability that the referendum secures his favourite outcome.     

The probability of conflicts in a U.S. presidential type election

Summary. In a two candidate election, it might be that a candidate wins in a majority of districts while he gets less vote than his opponent in the whole country. In Social Choice Theory, this situation is known as the compound majority paradox, or the referendum paradox. Although occurrences of such paradoxical results have been observed worldwide in political elections (e.g. United States, United Kingdom, France), no study evaluates theoretically the likelihood of such situations. In this paper, we propose four probability models in order to tackle this issue, for the case where each district has the same population. For a divided electorate, our results prove that the likelihood of this paradox rapidly tends to 20% when the number of districts increases. This probability decreases with the number of states when a candidate receives significatively more vote than his opponent over the whole country.Received: 12 August 2002, Revised: 7 March 2003, JEL Classification Numbers: D71. Correspondence to: Vincent R. MerlinSpecial thanks are due to Franck Bisson, a Caen PhD student, who helped collect the data. The authors also gratefully acknowledge Ashley Piggins and an anonymous referee for their comments.     

The Economic Consequences of Dollar Appreciation for US Manufacturing Investment: A Time‐Series Analysis

This article analyses the effects of the real value of the dollar on investment in US domestic manufacturing using aggregate data for 1973–2004. Econometric estimation shows a negative effect that is much larger than has been found in any previous study. The exchange rate affects investment mainly, although not exclusively, through the channel of financial or liquidity constraints, rather than by affecting the desired stock of capital. Counterfactual simulations show that US manufacturing investment would have been 61% higher and the capital stock would have been 17% higher in 2004 if the dollar had not appreciated after 1995.