Working Papers

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2023

March 10, 2023

Sovereign ESG Bond Issuance: A Guidance Note for Sovereign Debt Managers

Description: This paper aims to provide guidance to issuers of sovereign ESG bonds, with a focus on Emerging Market and Developing Economies (EMDEs). An overview of the ESG financing options available to sovereign issuers is followed by an analysis of the operational requirements and costs that the issuance of sovereign ESG bonds entails. While green bonds are the instruments used to describe the issuance process, the paper also covers alternative instruments, including social and sustainability-linked bonds to provide issuers and other stakeholders with a comprehensive view of the ESG bond marketplace.

March 10, 2023

Public versus Private Cost of Capital with State-Contingent Terminal Value

Description: The economic debate underlines the reasons why discount rates of infrastructure projects should be similar, regardless the public or private source of financing, during the forecast period when flows are risky but predictable. In contrast, we show that the incompleteness of contracts between governments and private firms beyond the forecast period (i.e., when flows of net social benefits are state-contingent) entails expected terminal values that are systematically larger under government rather than private financing. This effect provides a new rationale for applying a lower discount rate in the assessment of projects under public financing as compared to private financing.

March 10, 2023

The Heterogeneous Effects of U.S. Monetary Policy on Non-Bank Finance

Description: Using flow of funds and high frequency data from the Investment Company Institute, we study the effects of monetary policy shocks on the size of non-bank assets as well as on flows into long-term mutual funds and returns on their assets. Consolidating chains of non-bank intermediation to avoid double counting, we find that contractionary monetary policy shocks shrink the assets of non-banks reliant on long-term funding, while increasing those of nonbanks reliant on short-term funding. Contractionary shocks also cause sustained outflows from long-term mutual funds and reduce their returns. Using a Markov-Switching VAR, we find these effects to be more prevalent after the Global Financial Crisis, and show that monetary policy shocks had the opposite effects in some earlier periods. Policymakers will thus have to contend with a complex and heterogeneous transmission of monetary policy to financial and macroeconomic outcomes through the non-banks.

March 10, 2023

Who Pays for Your Rewards? Redistribution of the Credit Card Market

Description: We study credit card rewards as an ideal laboratory to quantify redistribution between consumers in retail financial markets. Comparing cards with and without rewards, we find that, regardless of income, sophisticated individuals profit from reward credit cards at the expense of naive consumers. To probe the underlying mechanisms, we exploit bank-initiated account limit increases at the card level and show that reward cards induce more spending, leaving naive consumers with higher unpaid balances. Naive consumers also follow a sub-optimal balance-matching heuristic when repaying their credit cards, incurring higher costs. Banks incentivize the use of reward cards by offering lower interest rates than on comparable cards without rewards. We estimate an aggregate annual redistribution of $15 billion from less to more educated, poorer to richer, and high to low minority areas, widening existing disparities.

March 10, 2023

Sectoral Impact and Propagation of Weather Shocks

Description: Local weather shocks have been shown to affect local economic output, however, little is known about their propagation through production networks. Using a six-sector global dataset over the past fifty years, this paper examines the effect of weather fluctuations and extreme weather events on sectoral economic production and the transmission of weather shocks across sectors, countries and over time. I document that agriculture is the most harmed sector by heat shocks, droughts and cyclones. Using input-output interlinkages, I find that sectors at later stages of the supply chain suffer from substantial and persistent losses over time due to domestic and foreign heat shocks in other sectors. A counterfactual analysis of the average annual output loss accounting for heat shocks across trade partners shows a substantial underestimation of the economic cost of temperature increases since 2000.

March 10, 2023

Heterogeneous Spending, Heterogeneous Multipliers

Description: Do local fiscal multipliers depend on what the government purchases? We find that government purchases of services have larger effects on employment than spending on goods. Industries producing services are more labor-intensive than industries producing goods. This heterogeneity in labor intensity is an important mechanism behind these results. Spending directed toward labor-intensive industries generates stronger increases in employment and labor income relative to spending toward non-labor-intensive industries.

March 10, 2023

Optimal Monetary and Macroprudential Policies under Fire-Sale Externalities

Description: I provide an integrated analysis of monetary and macroprudential policies in a model economy featuring a financial friction and a nominal wage rigidity. In this set-up, the monetary authority faces a trade-off between macroeconomic and financial stability: While expansionary counter-cyclical monetary policy prevents involuntary unemployment, it also amplifies an inefficient reallocation of capital across sectors. The main contribution of the analysis is threefold: First it highlights a novel channel through which monetary policy can impact financial stability. Second, it shows that, by itself, monetary policy can significantly mitigate the wedge between the constrained efficient and the competitive allocation. Third, regardless of the availability of macroprudential tools, stabilizing demand is usually not optimal for monetary policy.

March 10, 2023

Do Capital Controls Limit Inflow Surges?

Description: With rising financial integration, the magnitude and swings in capital flows have increased in the past two decades, intensifying the policy debate on how best to deal with these flows. This paper assesses the use and effectiveness of capital controls in limiting inflow surges. Using a novel dataset on capital control changes across 40 advanced and emerging market and developing economies over 1995-2018, we find that the tightening of capital controls reduces the probability of future surges both at the aggregate and the asset flow levels. The results are robust to various definitions of surges and are stronger when controls are matched to the asset class they target. Finally, we also find significant multilateral spillovers from capital control actions, pointing towards the need for international cooperation in the use of these policies.

March 10, 2023

Deconstructing ESG Scores: How to Invest with your own Criteria?

Description: Environmental, Social, and Governance (ESG) scores are a key tool for asset managers in designing and implementing ESG investment strategies. They, however, amalgamate a broad range of fundamentally different factors, creating ambiguity for investors as to the underlying drivers of higher or lower ESG scores. We explore the feasibility and performance of more targeted investment strategies based on specific ESG categories, by deconstructing ESG scores into their granular components. First, we investigate the characteristics of the various categories underlying ESG scores. Not all types of ESG categories lend themselves to more focused strategies, which is related to both limits to ESG data disclosure and the fundamental challenge of translating qualitative characteristics into quantitative measures. Second, we consider an investment scheme based on the exclusion of firms with the lowest scores in a given category of interest. In most cases, this strategy allows investors to substantially improve the ESG category score, with a marginal impact on financial performance relative to a broad stock market benchmark. The exclusion results in regional and sectoral biases relative to the benchmark, which may be undesirable for some investors.We then implement a “best-in-class” strategy by excluding firms with the lowest category scores and reinvesting the proceeds in firms with the highest scores, maintaining the same regional and sectoral composition. This approach reduces the tracking error of the portfolio and slightly improves its risk-adjusted performance, while still yielding a large gain in the targeted ESG category score.

March 3, 2023

Identifying Optimal Indicators and Lag Terms for Nowcasting Models

Description: Many central banks and government agencies use nowcasting techniques to obtain policy relevant information about the business cycle. Existing nowcasting methods, however, have two critical shortcomings for this purpose. First, in contrast to machine-learning models, they do not provide much if any guidance on selecting the best explantory variables (both high- and low-frequency indicators) from the (typically) larger set of variables available to the nowcaster. Second, in addition to the selection of explanatory variables, the order of the autoregression and moving average terms to use in the baseline nowcasting regression is often set arbitrarily. This paper proposes a simple procedure that simultaneously selects the optimal indicators and ARIMA(p,q) terms for the baseline nowcasting regression. The proposed AS-ARIMAX (Adjusted Stepwise Autoregressive Moving Average methods with exogenous variables) approach significantly reduces out-of-sample root mean square error for nowcasts of real GDP of six countries, including India, Argentina, Australia, South Africa, the United Kingdom, and the United States.

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