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Several countries in Central, Eastern and Southeastern Europe used a rich set of prudential instruments in response to last decade’s credit and housing boom and bust cycles. We collect detailed information on these policy measures in a comprehensive database covering 16 countries at a quarterly frequency. We use this database to investigate whether the policy measures had an impact on housing price inflation. Our evidence suggests that some—but not all—measures did have an impact. These measures were changes in the minimum CAR and non-standard liquidity measures (marginal reserve requirements on foreign funding, marginal reserve requirements linked to credit growth).
This paper introduces a new comprehensive database of macroprudential policies, which combines information from various sources and covers 134 countries from January 1990 to December 2016. Using these data, we first confirm that loan-targeted instruments have a significant impact on household credit, and a milder, dampening effect on consumption. Next, we exploit novel numerical information on loan-to-value (LTV) limits using a propensity-score-based method to address endogeneity concerns. The results point to economically significant and nonlinear effects, with a declining impact for larger tightening measures. Moreover, the initial LTV level appears to matter; when LTV limits are already tight, the effects of additional tightening on credit is dampened while those on consumption are strengthened.
Managing Risk and Decision Making in Times of Economic Distress adds much needed scholarly analysis of the fledgling decision/control approach, arguing the merits of its empirical content to shed light on the structure of capital contracts and rationale for diversity of objectives.
Macroprudential policy is increasingly being implemented worldwide. Its effectiveness in influencing bank credit and its substitution effects beyond banking have been a key subject of discussion. Our empirical analysis confirms the expected effects of macroprudential policies on bank credit, both for advanced economies and emerging market economies. Yet we also find evidence of substitution effects towards nonbank credit, especially in advanced economies, reducing the policies’ effect on total credit. Quantity restrictions are particularly potent in constraining bank credit but also cause the strongest substitution effects. Policy implications indicate a need to extend macroprudential policy beyond banking, especially in advanced economies.
Two main themes of the book are that (1) politics can distort optimal fiscal policy through elections and through political fragmentation, and (2) rules and institutions can attenuate the negative effects of this dynamic. The book has three parts: part 1 (9 chapters) outlines the problems; part 2 (6 chapters) outlines how institutions and fiscal rules can offer solutions; and part 3 (4 chapters) discusses how multilevel governance frameworks can help.
The spread of COVID-19, containment measures, and general uncertainty led to a sharp reduction in activity in the first half of 2020. Europe was hit particularly hard—the economic contraction in 2020 is estimated to have been among the largest in the world—with potentially severe repercussions on its nonfinancial corporations. A wave of corporate bankruptcies would generate mass unemployment, and a loss of productive capacity and firm-specific human capital. With many SMEs in Europe relying primarily on the banking sector for external finance, stress in the corporate sector could easily translate into pressures in the banking system (Aiyar et al., forthcoming).
The volatility of capital flows to emerging markets continues to pose challenges to policymakers. In this paper, we propose a new framework to answer critical policy questions: What policies and policy frameworks are most effective in dampening sharp capital flow movements in response to global shocks? What are the near- versus medium-term trade-offs of different policies? We tackle these questions using a quantile regression framework to predict the entire future probability distribution of capital flows to emerging markets, based on current domestic structural characteristics, policies, and global financial conditions. This new approach allows policymakers to quantify capital flows risks and evaluate policy tools to mitigate them, thus building the foundation of a risk management framework for capital flows.
Given the large size of aggregate remittance flows (billions of dollars annually), they should be expected to have significant macroeconomic effects on the economies that receive them. This paper directly addresses the two main issues of interest to policymakers with regard to remittances--how to manage their macroeconomic effects, and how to harness their development potential--by reporting the results of the first global study of the comprehensive macroeconomic effects of remittances on recipient economies. In broad terms, the findings of this paper tend to confirm the main benefit cited in the microeconomic literature: remittances improve households' welfare by lifting families out of poverty and insuring them against income shocks. The findings also yield a number of important caveats and policy considerations, however, that have largely been overlooked. The main challenge for policymakers in countries that receive significant flows of remittances is to design policies that promote remittances and increase their benefits while mitigating adverse side effects. Getting these policy prescriptions correct early on is imperative. Globalization and the aging of developed economy populations will ensure that demand for migrant workers remains robust for years to come. Hence, the volume of remittances likely will continue to grow, and with it, the challenge of unlocking the maximum societal benefit from these transfers.
This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.
On March 12th 2020, World Health Organization (WHO) declared the spreading of the new virus, 2019-nCoV, a pandemic. In Asia, the virus, more commonly referred to as COVID-19, has been spreading since the end of December. To contain the public health threat, almost all countries enforced a variety of measures, including lockdowns, to minimize face-to-face human interactions between the infected and the susceptible.While these vigilant measures save lives, they also generate a substantial negative economic shock that immediately halts demand and significantly disrupts supply, global production value chain and trade. The consequences are dire — considerable decline in output, massive surge in unemployment, countless bankruptcy cases, and unrelentless worries over financial stability. The result, a worldwide economic setback, is more severe than that experienced during the Great Financial Crisis of 2008-2009.Asia's experiences with COVID-19 precede that in the West. This fortuitous timing allows Asia to share its learnings drawn from experiences to benefit the world.The Asian Bureau of Finance and Economic Research's (ABFER) community has gathered a collection of insights to inform the public. Besides providing access to research on the pandemic conducted in Asia, these commentaries offer comprehensive information on the effects of the pandemic, the effectiveness of measures employed to contain it and the subsequent economic impacts from such implementation. With granular analyses of government policies and their associated economic rescue packages, these commentaries elucidate the hard trade-offs between public health protection and economic security. Finally, the commentaries address the broader impact of the pandemic on international trade, global value chains and society.