The impact of shadow banking on the implementation of Chinese monetary policy

This paper empirically analyses the relationship between the shadow banking system and implementation of monetary policy in China using the VECM methodology. We show that an increase in the size of shadow banking sector increases the independence of bank lending from the policies of the People Bank of China. We also find that Shadow Banking works in an asymmetric fashion in that it amplifies increases in the money supply but weakens the effects of restrictive interest rate-based monetary policy decisions

Priority for the Worse Off and the Social Cost of Carbon

The social cost of carbon (SCC) is a monetary measure of the harms from carbon emission. Specifically, it is the reduction in current consumption that produces a loss in social welfare equivalent to that caused by the emission of a ton of CO2. The standard approach is to calculate the SCC using a discounted-utilitarian social welfare function (SWF)—one that simply adds up the well-being numbers (utilities) of individuals, as discounted by a weighting factor that decreases with time. The discounted-utilitarian SWF has been criticized both for ignoring the distribution of well-being, and for including an arbitrary preference for earlier generations. Here, we use a prioritarian SWF, with no time-discount factor, to calculate the SCC in the integrated assessment model RICE. Prioritarianism is a well-developed concept in ethics and theoretical welfare economics, but has been, thus far, little used in climate scholarship. The core idea is to give greater weight to well-being changes affecting worse off individuals. We find substantial differences between the discounted-utilitarian and non-discounted prioritarian SCC

Economic Activity of Firms and Asset Prices

In this review we survey the recent research on the fundamental determinants of stock returns. These studies explore how firms' systematic risk and their investment and production decisions are jointly determined in equilibrium. Models with production provide insights into several types of empirical patterns, including (a) the correlations between firms' economic characteristics and their risk premia, (b) the comovement of stock returns among firms with similar characteristics, and (c) the joint dynamics of asset returns and macroeconomic quantities. Moreover, by explicitly relating firms' stock returns and cash flows to fundamental shocks, models with production connect the analysis of financial markets with the research on the origins of macroeconomic fluctuations

Credit and business cycles’ relationship : evidence from Spain

This study provides evidence on the interaction between business and credit cycles in Spain during the period 1970–2014. The paper works on three analyses: the cycle turning points are identified; the main features of credit and business cycles are documented; and in both cycles the causal relationship is assessed. We find differences in the features of the business and credit cycle phases, which lead to a scant degree of synchronization over time. The lack of synchronization might be a sign that the cyclic interaction could be non-contemporaneous. Our results reveal that there is causation. A significant lagged rela- tionship between business and credit cycles is found; specifically, fluctuations of the business cycle lead fluctuations of the credit to non-financial corporations and a lag exists with respect to the fluctuations of the credit to households. We also examine episodes of credit boom and credit crunch. In the period 1970–2014, Spanish credit booms did not involve deeper business cycle contractions and credit crunches were not associated with deeper and longer business cycle contractions. These differences are related with the great importance of the real estate sector in Spain.info:eu-repo/semantics/publishedVersio

An agent based decentralized matching macroeconomic model

In this paper we present a macroeconomic microfounded framework with heterogeneous agents-individuals, firms, banks-which interact through a decentralized matching process presenting common features across four markets-goods, labor, credit and deposit. We study the dynamics of the model by means of computer simulation. Some macroeconomic properties emerge such as endogenous business cycles, nominal GDP growth, unemployment rate fluctuations, the Phillips curve, leverage cycles and credit constraints, bank defaults and financial instability, and the importance of government as an acyclical sector which stabilize the economy. The model highlights that even extended crises can endogenously emerge. In these cases, the system may remain trapped in a large unemployment status, without the possibility to quickly recover unless an exogenous intervention takes place

Early warning of systemic risk in global banking: eigen-pair R number for financial contagion and market price-based methods

We analyse systemic risk in the core global banking system using a new network-based spectral eigen-pair method, which treats network failure as a dynamical system stability problem. This is compared with market price-based Systemic Risk Indexes, viz. Marginal Expected Shortfall, Delta Conditional Value-at-Risk, and Conditional Capital Shortfall Measure of Systemic Risk in a cross-border setting. Unlike paradoxical market price based risk measures, which underestimate risk during periods of asset price booms, the eigen-pair method based on bilateral balance sheet data gives early-warning of instability in terms of the tipping point that is analogous to the R number in epidemic models. For this regulatory capital thresholds are used. Furthermore, network centrality measures identify systemically important and vulnerable banking systems. Market price-based SRIs are contemporaneous with the crisis and they are found to covary with risk measures like VaR and betas