Incorporating active adjustment into a financing based model of capital structure

The conventional partial adjustment model, which focuses on leverage evolution, has difficulty identifying deliberate capital structure adjustments as it confounds financing decisions with the mechanical autocorrelation of leverage. We propose and estimate a financing-based partial adjustment model that separates the effects of financing decisions on leverage evolution from mechanical evolution. The speed of adjustment (SOA) is firm-specific and stochastic, and active targeting of capital structure has a multiplier effect that depends on the size of financial deficit. Overall, we find expected SOA from active rebalancing (30%) more than doubles what is expected from mechanical mean reversion alone (13%).     

Why does the peso-dollar exchange rate show a depreciation trend? The role of productivity differentials

Over the last three decades, Mexico's macroeconomic policy has been driven by a sound orthodox strategy: an open economy via many trade agreements signed since the mid-1980s, a nominal exchange rate under a flexible regime since 1994, central bank autonomy, and responsible fiscal policy, among other benchmarks. Nevertheless, the exchange rate has continued on a path of depreciation against the US dollar. In this paper, we show that although an equilibrium relationship exists between the exchange rate and prices in Mexico and the US (its main commercial partner), there are other forces affecting the former. The main factor in this relentless long-term depreciation is the loss of productivity in Mexico relative to the US. In addition, we show that the extraordinary liquidity supplied by the US during the 2008 crisis caused the Mexican peso to appreciate against the dollar.     

Initial coin offerings (ICOs) to finance new ventures

In an initial coin offering (ICO), new ventures raise capital by selling tokens to a crowd of investors. Often, this token is a cryptocurrency, a digital medium of value exchange based on the distributed ledger technology. Both the number of ICOs and the amount of capital raised have exploded since 2017. Despite attracting significant attention from ventures, investors, and policy makers, little is known about the dynamics of ICOs. This initial study therefore assesses the determinants of the amount raised in 423 ICOs. Drawing on signaling theory, the study explores the role of signaling ventures' technological capabilities in ICOs. The results show that technical white papers and high-quality source codes increase the amount raised, while patents are not associated with increased amounts of funding. Exploring further determinants of the amount raised, the results indicate that some of the underlying mechanisms in ICOs resemble those found in prior research into entrepreneurial finance, while others are unique to the ICO context. The study's implications are multifold and discussed in detail. Importantly, the results enable investors to more accurately understand crucial determinants of the amount raised (e.g., technical white papers, source code quality, token supply, Ethereum-standard). This reduces the considerable uncertainty that investors face when investing in ICOs and enables more informed decision-making.     

TrAffic LIght system for systemic Stress: TALIS3

For the purposes of financial stability, identifying financial institutions that, when in distress, could have a significant adverse impact on financial markets is important. A TrAffic LIght System for Systemic Stress (TALIS-cube) is proposed that provides a comprehensive color-based classification for grouping companies according to both the stress reaction level of the system when the company is in distress and the company’s stress level. TALIS³ can integrate multiple signals from the interaction between different risk metrics. Starting from specific risk indicators, companies are classified by combining two loss functions—one for the system and one for each company—evaluated over time and as a cross section. An aggregated index is also obtained from the color-based classification of companies. TALIS³ can be used to enhance the performance and robustness of existing systemic risk measures. An empirical analysis of the U.S. market is also provided.     

Inequality and credit growth in Russian regions

We test the Rajan hypothesis using data for Russian regions from 2000 (after the ruble crisis) to 2012 (before the introduction of international sanctions). The Rajan hypothesis predicts that rising income inequality leads politicians to expand credit for the poor, which in turn, fuels a consumer credit boom. Russia provides a unique research opportunity becaise it is a post-communist transition country with 75 diverse regions. We find that a rise in income inequality is positively correlated with personal loan growth in Russia. We also find a statistically weaker, albeit economically larger, relationship between economic inequality and corporate credit. Taken together, our results provide support for the Rajan hypothesis in a country with extreme regional differences and a long history of populist policies.     

IS A SOCIAL EMPOWERMENT OF PPP FOR INFRASTRUCTURE DELIVERY POSSIBLE? LESSONS FROM SOCIAL IMPACT BONDS

Social Impact Bonds (SIBs) have emerged in recent years as outcome‐based public‐private partnerships (PPP) for the delivery of welfare services, where the payment to the private operator is linked to the achievement of superior social impact. Since the traditional infrastructure‐based PPP approach seems to have failed to achieve higher level of efficiency and, above all, effectiveness, this paper discusses the extent to which the SIB model can represent a reference point to innovate the PPP model by introducing more focus on outcome achievement and social value generation.     

Tropical cyclones and post-disaster reconstruction of public infrastructure in developing countries

When natural disasters destroy public capital, these direct losses are exacerbated by indirect losses arising from reduced private output during reconstruction. These may be large in developing countries that lack access to external finance. We develop a general equilibrium model of a small open economy that highlights the relation between public infrastructure and private capital, to examine the effects of natural disasters and alternative reconstruction paths. Calibrating the model to data from the Caribbean Catastrophic Risk Insurance Facility (CCRIF), we examine alternative post-disaster financing mechanisms including reserve depletion, budget reallocation, sovereign disaster insurance, debt and taxation. Disaster insurance is shown to play a limited role in financing reconstruction, while budget re-allocations are potentially damaging especially if they cannibalize operations and maintenance expenditures. Absent donor grants or concessional borrowing, tax financing – where feasible – remains the least damaging financing instrument, particularly if the country risk premium on external debt is high.     

Credit constraints and productivity of SMEs: Evidence from Canada

To what extent firms are constrained by external credit is usually unobserved in commonly used firm-level data. We use a survey of financing among Canadian small and medium-sized enterprises to measure the likelihood of a firm being constrained by credit. We find that firm size, current debt-to-asset ratio and cash flow are robust indicators of being financially constrained, while long-term debt to asset ratio is not a significant indicator of credit constraints. We then estimate the firm-level total factor productivity, taking into account the measured credit constraints. Omitting credit constraints leads to an upward bias of productivity estimates, by 4 percent. In addition, we find no strong evidence that suggests credit constraints lead to slower productivity growth. Finally, we confirm that both investment and employment growth are negatively affected by the measured credit constraints.     

A two-sector Kaleckian model of growth and distribution with endogenous productivity dynamics

This study extends a two-sector Kaleckian model of output growth and income distribution by incorporating endogenous labour productivity growth. The model is composed of investment goods and consumption goods production sectors. The impact of a change in wage and profit shares on capacity utilisation and output growth rates at the sectoral and aggregate levels are identified. The study reveals short-run cyclical capacity utilisation rates and productivity growth dynamics. Even if the short-run steady state is stable, the capital accumulation rate in the consumption goods sector must decrease more than that in the investment sector for long-run stability. When simultaneous rises in profit shares in both the sectors affect long-run aggregate economic growth differently at a steady state, the distributional interests between the same class in different sectors may hamper the long-run economic growth. A policy message is that the effect of income distribution on industrial output growth is not always beneficial. These phenomena are specific to two-sector models and cannot be observed when using conventional aggregate growth models.