Multivariate contemporaneous-threshold autoregressive models

This paper proposes a contemporaneous-threshold multivariate smooth transition autoregressive (C-MSTAR) model in which the regime weights depend on the ex-ante probabilities that latent regime-specific variables exceed certain threshold values. A key feature of the model is that the transition function depends on all the parameters of the model as well as on the data. Since the mixing weights are also a function of the regime-specific noise covariance matrix, the model can account for contemporaneous regime-specific co-movements of the variables. The stability and distributional properties of the proposed model are discussed, as well as issues of estimation, testing and forecasting. The practical usefulness of the C-MSTAR model is illustrated by examining the relationship between US stock prices and interest rates.     

Coherent Distortion Risk Measures and Higher-Order Stochastic Dominances

Abstract

We show that the only coherent distortion risk measure that is consistent with respect to 3-convex order and hence with stochastic dominance of order 3 is the expected value, thus generalizing previous results of Hurlimann and solving a problem posed by Yamai and Yoshiba.     

Form of Ownership and Financial Constraints:Panel Data Evidence From Flow of Funds and Investment Equations

This paper analyzes the effects of the form of ownership on the substitutability between internal and external sources of finance in Italy. In particular, we test whether financial constraints are more severe for independent firms compared to members of large national business groups and subsidiaries of foreign multinational corporations. The results obtained from flow of funds and investment equations estimated for a panel of Italian companies imply that independent firms face more severe financial constraints. In fact, not only members of national groups and subsidiaries of multinational corporations find it easier to substitute cash flow with external finance when the former falls but they do not display excess sensitivity to cash flow and debt in their investment decisions.     

I do not own a car any more: An analysis of possessions’ disposal and changes in consumers’ identities

This research aims to understand the process of cars' disposal, its context, its influences and its impacts on the meanings for consumers and their identities, as well as the new behaviours of these consumers when living without their car(s). We conducted, analysed and interpreted 20 in‐depth interviews with consumers that had previously owned at least one car and had no financial reasons for disposing of their car(s), but had decided to do it, and started to live without them, adopting alternative methods of transportation. Our findings show that these consumers faced a complicated process regarding the disposal of their car(s) but, due to the changes in their circumstances, they re‐signified relevant concepts that were connected to the ownership of a car: Their perception of freedom, comfort, safety and status changed during and after the disposal of their car(s). We also noticed that there were implications in terms of changes in their attitudes and behaviour as both citizens and consumers. As a contribution to the literature, our findings indicate that the re‐signifying of concepts related to possession of the object as well as changes in attitudes and behaviours that consumers undergo in the postdisposal stage, must be included in the model proposed for evaluating consumer behaviour in product disposal.     

Production smoothing, firms' heterogeneity, and financial constraints: evidence from a panel of UK firms

In this paper we provide an empirical analysis of heterogeneityin firms' inventory behavior, using a panel of UK manufacturingfirms. We first investigate how the relative variance of productionand sales differs across firms. We then use variants of thelinear quadratic inventory model in order to analyze potentialheterogeneity in firms' incentives to smooth production. Theresults suggest that incentives to smooth production are notprevalent This conclusion also holds when firms are partitionedaccording to whether they are more or leu likely to face finanrialconstraints.     

A New Approach to the Study of Jobless Recoveries

This article is concerned with the measurement of jobless recoveries and the elements that may explain their emergence. We first introduce a measure that maps the various elements that define a jobless recovery into a single number that we label the jobless recovery depth. We then construct a database of 389 state‐level observations and study the cross‐sectional variations that emerge. We find that jobless recoveries in the United States are not a nation‐wide phenomena, but a local event confined within a cluster of states that expands slowly between 1975 and 2015. We find the state‐level evidence to be consistent with theories that link jobless recoveries to unusually long expansionary periods, less dynamic labor markets, and the advent of the great moderation. The evidence is not consistent with theories that link them to decreases in union power, increases in income inequality, or increases in health care costs.     

Assessing financial distress dependencies in OTC markets: a new approach using trade repositories data

In this paper, we study the relationships among financial market sub-segments as a way to identify potential financial distress through increased co-movements among them. To study how sub-markets are mutually co-dependent, we combine granular data on over-the-counter derivatives by trade repositories and the joint probability of distress (JPoD) approach introduced by the International Monetary Fund. We define an indicator that combines several distress drivers and observe that results on co-dependencies are similar to those that would be expected: similarities between financial and contractual terms seem to be responsible for stronger co-movements among sub-markets. However, high values for JPoD even in correspondence of quite dissimilar sub-markets suggest the presence of other drivers that should be investigated in future research. To the best of our knowledge, this is the first empirical study on systemic risk assessment based on micro-founded trade repositories’ data on interest rate swaps.     

Consumption optimization for recursive utility in a jump-diffusion model

In this paper, we consider a market model with prices and consumption following a jump-diffusion dynamics. In this setting, we first characterize the optimal consumption plan for an investor with recursive stochastic differential utility on the basis of his/her own beliefs, then we solve the inverse problem to find what beliefs make a given consumption plan optimal. The problem is viewed in general for a class of homogeneous recursive utility, and later we choose a logarithmic model for the utility aggregator as an explicitly computable example. When beliefs, represented via Girsanov’s theorem, get incorporated into the model, the change of measure gives rise, up to a transformation, to a backward stochastic differential equation whose generator exhibits a quadratic behavior in the Brownian component and a locally Lipschitz one in the jump component, which is solvable on the basis of some recent results.