Energy Consumption and Bitcoin Market

Asia-Pacific Financial Markets - This paper is the first empirical paper to study the relationship between Bitcoin energy consumption and its market. Using the variance decompositions in...     

Trade liberalization and markups: Micro evidence from China

This paper presents evidence from highly disaggregated Chinese firm-product data that, given productivity, input tariff reductions induce an incumbent importer/exporter to increase product markups. We further investigate empirically the mechanisms underlying this trade liberalization effect, and find that input tariff reductions decrease marginal costs, and their effects on markup adjustments are more profound among firms with higher import dependence. Moreover, we exploit unique features of Chinese data by comparing results for two trade regimes: ordinary trade (wherein firms pay import tariffs to import) and processing trade (wherein firms are not subject to import tariffs). While the aforementioned trade liberalization effects and mechanisms only apply to ordinary trade, processing trade samples are used in a placebo test. The paper also shows that more productive firms charge higher markups for products. All these findings are robust to alternative markup measures including one estimate using physical-quantity output data, different production function specifications, a subsample consisting only of pure exporters, and estimations based on our theoretical derivations.     

When Is a Firm's Information Asymmetry Priced? The Role of Institutional Investors

This study reexamines the competing claims that probability of informed trading (PIN) is priced in the cross‐section of stock returns while adjusted PIN (AdjPIN), the component of PIN related to information asymmetry, is not. We find that behind these seemingly contradicting conclusions is the role of institutional investors, and the pricing of PIN and AdjPIN depends on institutional ownership. Only for those stocks with low institutional ownership are both PIN and AdjPIN priced. Our findings imply that investors require compensation for information risk only from stocks with low institutional ownership.     

Correction to: Energy Consumption and Bitcoin Market

Asia-Pacific Financial Markets - In the original publication of the article, the acknowledgement section has been missed to update.     

Extensive and Intensive Margins of Exports and Labor Heterogeneity

This paper investigates how changes in skilled and unskilled labor supply affect different margins of exports. Using bilateral trade data in manufacturing sectors of 34 countries from 1995 to 2010, we find that most of the impact of skilled labor on exports goes through the intensive margin, whereas most of the effect of unskilled labor works through the extensive margin. These outcomes result from the impact of labor skill composition on the productivity cut‐off of exporters. We also find that the impact of skilled and unskilled labor on trade margins depends on the income level of countries and on the type of products. The results indicate that the effect of skilled labor is greater for low‐income countries and differentiated products, while that of unskilled labor is greater for high‐income countries and homogeneous products.     

Impact of mortgage soft information in loan pricing on default prediction using machine learning

We analyze the impact of soft information on US mortgages for default prediction and provide a new measure for lender soft information that is based on the interest rates offered to borrowers and incremental to public hard information. Hard and soft information provide for a variation in annual default probabilities of approximately 3%. Soft information has a lesser impact over time and time since origination. Lenders rely more on soft information for high-risk borrowers. Our study evidences the importance of soft information collected at loan origination.     

Cramér–Von Mises distance estimation for some positive infinitely divisible parametric families with actuarial applications

Cramér–Von Mises (CVM) inference techniques are developed for some positive flexible infinitely divisible parametric families generalizing the compound Poisson family. These larger families appear to be useful for parametric inference for positive data. The methods are based on inverting the characteristic functions. They are numerically implementable whenever the characteristic function has a closed form. In general, likelihood methods based on density functions are more difficult to implement. CVM methods also lead to model testing, with test statistics asymptotically following a chi-square distribution. The methods are for continuous models, but they can also handle models with a discontinuity point at the origin such as the case of compound Poisson models. Simulation studies seem to suggest that CVM estimators are more efficient than moment estimators for the common range of the compound Poisson gamma family. Actuarial applications include estimation of the stop loss premium, and estimation of the present value of cash flows when interest rates are assumed to be driven by a corresponding Lévy process.     

The Determination of the Equilibrium Exchange Rate in a Simple General Equilibrium Model

In this article, we develop an analytical general equilibrium model of the equilibrium exchange rate for emerging countries. This theoretical framework allows us to identify a relevant set of variables which determinate the equilibrium exchange rate and to explore how these variables influence the trajectory of the equilibrium exchange rate.     

The Impact of Input and Output Tariffs on Firms' Productivity: Theory and Evidence

This paper studies the impact of trade liberalization on productivity. It shows that when intermediate inputs are not highly differentiated, lowering input tariffs leads to a rise in within‐firm productivity and wages, and lowering output tariffs has the opposite effect. When intermediate inputs are highly differentiated, the conclusions reverse. These predictions are supported by the data, given by the industrial survey from INEGI (Mexico's Insitituto Nacional de Estadistica Geografia e Informacion) in the period 1984–90. The paper yields estimates for the elasticity of substitution among intermediate inputs, which are useful in determining the direction of the impact of trade liberalization. These estimates can be used to assess the gains from trade liberalization.