Credit supply and corporate capital structure: Evidence from Japan

In this paper we examine how financial constraints, especially fluctuations in the supply of credit, affect the capital structure of 1537 publicly listed Japanese firms from 1980 to 2007, in a data set with 33,000 observations. It is one of the first studies to do so and is inspired by the recent studies of Leary (2009) and Faulkender and Petersen (2006). Japan was selected due to the extreme credit supply fluctuations observed during the last 30 years. It thus offers an ideal natural experiment to test the impact of credit supply on corporate capital structure. In particular, in our panel data study we investigated the impact of the asset bubble in the 1980s and the credit crunch of the late 1990s on corporate capital structure decisions. The results of this paper show, among other findings, that financial policy decisions are indeed influenced by monetary conditions and the supply of credit. In particular, smaller sized firms face financial constraints, especially during economic downturns.     

Foreign Aid, the Real Exchange Rate, and Economic Growth in the Aftermath of Civil Wars

Foreign aid, the real exchange rate (RER), and economic growthare three key variables that shape the aftermath of civil warsin many developing countries. Panel estimations drawn from asample of 39 conflict and 44 nonconflict countries between 1970and 2004 indicate that although postconflict countries receivelarger aid flows and exhibit moderate RER overvaluation afterpeace is attained, overvaluation cannot be traced to aid. Yetforeign aid is among the significant determinants of the equilibriumRER. Aid is also an important determinant of economic growth,particularly after peace is reached. Aid exhibits decreasingreturns, however, and interacts negatively with RER overvaluation.RER overvaluation reduces growth, but this effect is amelioratedby financial development. Postconflict policies should thereforeaim to use aid prudently, avoid RER misalignment, and supportfinancial and capital market development to achieve high andstable growth in the aftermath of war and beyond.     

Private Sector Influences on Monetary Policy in the United States

I examine the extent to which the Federal Reserve's monetary policy actions are correlated with the expressed wishes of private sector lobbying groups. I update and extend work by Havrilesky (1990, 1993) regarding the effect of signals from the banking industry through the Federal Advisory Council (FAC). I also construct a new database containing statements from non-financial interest groups. I find that monetary policy actions are correlated with signals from non-financial groups before 1979 but not after, and are correlated with signals from the FAC after 1979 but not before. I also find that the Fed's policy stance more closely matches the preferred stance of the banking industry after 1979.     

How strong is the macroeconomic case for downward real wage rigidity?

We explore the existence of downward real wage rigidity (DRWR) at the industry level, based on data from 19 OECD countries for the period 1973-1999. The results show that DRWR compresses the distributions of industry wage changes overall, as well as for specific geographical regions and time periods, but there are not many real wage cuts that are prevented. More important, however, DRWR attenuates larger real wage cuts, thus leading to higher real wages. There is stronger evidence for downward nominal wage rigidity than for DRWR. Real wage cuts are less prevalent in countries with strict employment protection legislation and high union density.     

Using common features to understand the behavior of metal-commodity prices and forecast them at different horizons

The objective of this article is to study (understand and forecast) spot metal price levels and changes at monthly, quarterly, and annual frequencies. Data consists of metal-commodity prices at a monthly and quarterly frequencies from 1957 to 2012, extracted from the IFS, and annual data, provided from 1900 to 2010 by the U.S. Geological Survey (USGS). We also employ the (relatively large) list of co-variates used in Welch and Goyal (2008) and in Hong and Yogo (2009).We investigate short- and long-run comovement by applying the techniques and the tests proposed in the common-feature literature. One of the main contributions of this paper is to understand the short-run dynamics of metal prices. We show theoretically that there must be a positive correlation between metal-price variation and industrial-production variation if metal supply is held fixed in the short run when demand is optimally chosen taking into account optimal production for the industrial sector. This is simply a consequence of the derived-demand model for cost-minimizing firms. Our empirical evidence fully supports this theoretical result, with overwhelming evidence that cycles in metal prices are synchronized with those in industrial production. This evidence is stronger regarding the global economy but holds as well for the U.S. economy to a lesser degree.Regarding out-of-sample forecasts, our main contribution is to show the benefits of forecast-combination techniques, which outperform individual-model forecasts – including the random-walk model. We use a variety of models (linear and non-linear, single equation and multivariate) and a variety of co-variates and functional forms to forecast the returns and prices of metal commodities. Using a large number of models (N large) and a large number of time periods (T large), we apply the techniques put forth by the common-feature literature on forecast combinations. Empirically, we show that models incorporating (short-run) common-cycle restrictions perform better than unrestricted models, with an important role for industrial production as a predictor for metal-price variation.     

Capital flows to emerging market economies: A brave new world?

We examine the determinants of net private capital inflows to emerging market economies (EMEs) since 2002. Our main findings are: First, growth and interest rate differentials between EMEs and advanced economies and global risk appetite are statistically and economically important determinants of net private capital inflows. Second, there have been significant changes in the behavior of net inflows from the period before the recent global financial crisis to the post-crisis period, especially for portfolio inflows, partly explained by the greater sensitivity of such flows to interest rate differentials since the crisis. Third, capital controls introduced in recent years do appear to have discouraged both total and portfolio net inflows. Finally, we find positive effects of unconventional U.S. monetary policy on EME inflows, especially portfolio inflows. Even so, U.S. unconventional policy is one among several important factors influencing flows.     

Public policy targets in EU broadband markets: The role of technological neutrality

The European Commission has recently sought to substantially revise how it regulates the telecommunication industry, with a key goal being to incentivise investment in high-speed broadband networks. Ambitious goals to incentivise investment in high-speed broadband networks have been set across the European Union, initially in the ‘Digital Agenda for Europe’ and more recently in its ‘Gigabit strategy’. These goals reflect the view of many that there are widespread and significant socio-economic benefits associated with broadband. Our analysis explores the consequence of target setting at a European level, in terms of encouraging investment and picking which technology should be adopted within the context of technological neutrality. We demonstrate that while public policy targets might implicitly favour specific technologies, especially when gigabit targets are defined, the technological choices that occur within individual Member States are shaped by the complex and dynamic interaction between a series of path dependencies that may vary significantly across as well as within Member States. Adopting an ecosystem perspective, we propose a conceptual framework that identifies the key factors associated with technological neutrality and informs a rational decision-making process.     

The evolving 5G case study in United States unilateral spectrum planning and policy

This paper tracks increasingly aggressive initiatives by the United States government to reallocate spectrum on an expedited and unilateral basis well before conclusion of inter-governmental coordination. Rather than embrace the customary commitment to achieve consensus on global spectrum allocations at the International Telecommunication Union (“ITU”), the Federal Communications Commission (“FCC”) has auctioned off large blocks of frequencies for the next generation (“5G”) of wireless services.The FCC might have framed its first 5G auction, reassigning Ultra High Frequency (“UHF”) spectrum, as a one-time deviation from compliance with long standing, intergovernmental coordination procedures. These frequencies have ideal signal propagation characteristics and the Commission could use financial incentives—unavailable in most nations—to expedite “repacking” by incumbent broadcasters willing to move, share or abandon spectrum in exchange for ample financial compensation. However, the FCC has continued to auction off 5G spectrum on grounds that it must find ways to abate an acute shortage of wireless bandwidth and doing so will regain or maintain global leadership in wireless technologies. This paper offers a critical rebuke to unilateral spectrum management, because the short-term benefits expected by the U. S. government likely will be offset by countervailing harms to 5G manufacturers, carriers and consumers. The paper tracks fractious preparation for the ITU's 2019 World Radio Conference by the U.S. delegation and the mixed record achieved there. Additionally, the paper explains how injecting trade, industrial policy and national security issues at the ITU can trigger more delays and disputes, including possible retaliation by nations displeased with U.S. efforts to subvert traditional technology optimization goals.A worst case scenario has the ITU deadlocked and unable to reach closure on “mission critical” spectrum planning issues at World Radio Conferences, convened every four years. The paper concludes that costs and likely challenges to the efficacy and legitimacy of the ITU will reduce the benefits accruing from the FCC's unilateral, spectrum planning campaign.     

Korea's leadership in 5G and beyond: Footprints and futures

The Korean government has played a crucial role in the development of advanced mobile networks, including 5G. Korea became the first country in the world to not only launch a nationwide 5G network but also to commercialize 5G services. In addition to looking at the steps toward 5G-related developments in Korea, this study used Latent Dirichlet Allocation (LDA) topic modeling analysis to examine how 5G-related discourse was formed in the media after its commercialization. As a result of analyzing news articles in the Korean press with 5G as the main keyword, a total of five topics were derived. Intriguingly, most topics contained several new articles related to government policies. Considering the characteristics of the mobile network industry—e.g. as an industry that receives licenses from the government—this result suggests that 5G-related issues are closely related to government policies. Our topic modeling results confirm that the interventionist promotion policy of the Korean government which acted as a catalyst for technology and business innovation played an important role in Korea's 5G leadership.     

Predictability of currency carry trades and asset pricing implications

This paper studies the time series predictability of currency carry trades, constructed by selecting currencies to be bought or sold against the US dollar, based on forward discounts. Changes in a commodity index, currency volatility and, to a lesser extent, a measure of liquidity predict in-sample the payoffs of dynamically re-balanced carry trades, as evidenced by individual and joint p-values in monthly predictive regressions at horizons up to six months. Predictability is further supported through out-of-sample metrics, and a predictability-based decision rule produces sizable improvements in the Sharpe ratios and skewness profile of carry trade payoffs. Our evidence also indicates that predictability can be traced to the long legs of the carry trades and their currency components. We test the theoretical restrictions that an asset pricing model, with average currency returns and the mimicking portfolio for the innovations in currency volatility as risk factors, imposes on the coefficients in predictive regressions.