nep-cba New Economics Papers
on Central Banking
Issue of 2024‒11‒11
27 papers chosen by
Sergey E. Pekarski, Higher School of Economics


  1. A New Dataset of High-Frequency Monetary Policy Shocks By Marijn A. Bolhuis; Sonali Das; Bella Yao
  2. Implications of higher inflation and interest rates for macroprudential policy stance By Hempell, Hannah S.; Silva, Fatima; Scalone, Valerio; Cornacchia, Wanda; Di Virgilio, Domenica; Palligkinis, Spyros; Velez, Anatoli Segura; Borkó, Tamás; Espic, Aurélien; Garcia, Salomón; Heires, Marcel; Herrera, Luis; Kärkkäinen, Samu; Kent, Luke; Kerbl, Stefan; Löhe, Sebastian; Oliveira, Vitor; Steikūné, Paulina
  3. Public and Private Money Creation for Distributed Ledgers: Stablecoins, Tokenized Deposits, or Central Bank Digital Currencies? By Jonathan Chiu; Cyril Monnet
  4. Local lending specialization and monetary policy By Alejandro Casado; David Martínez-Miera
  5. Global inflation, inflation expectations and central banks in emerging markets By Ana Aguilar; Rafael Guerra; Berenice Martinez
  6. Central Bank Digital Currencies and Financial Stability: Balance Sheet Analysis and Policy Choices By Romain Bouis; Mr. Gaston Gelos; Fumitaka Nakamura; Mr. Paavo A Miettinen; Erlend Nier; Gabriel Soderberg
  7. Central Bank digital currencies: where do we stand? Where are we going? By Christian de Boissieu
  8. Central Bank Digital Currencies: Design and Implementation in the Evolution of Sovereign Money By William C. Dudley
  9. Monetary policy transparency in Colombia By Juan J. Ospina-Tejeiro; José Vicente Romero
  10. Does Unconventional Monetary and Fiscal Policy Contribute to the COVID Inflation Surge in the US? By Jing Cynthia Wu; Yinxi Xie; Ji Zhang
  11. A macroeconomic model of banks’ systemic risk taking By Jorge Abad; David Martínez-Miera; Javier Suárez
  12. The Mortgage Cash-Flow Channel: How Rising Interest Rates Impact Household Consumption By Itamar Caspi; Nadav Eshel; Nimrod Segev
  13. Can Monetary Policies Inflate a Stock Market Bubble? A Regime Switching Model of Periodically Collapsing Bubbles By Monia Magnani
  14. A statistical approach to identifying ECB monetary policy By Bitter, Lea; Brand, Claus; Fonseca, Luís; Akkaya, Yıldız
  15. Using structural models to understand macroeconomic tail risks By Montes-Galdón, Carlos; Ajevskis, Viktors; Brázdik, František; Garcia, Pablo; Gatt, William; Lima, Diana; Mavromatis, Kostas; Ortega, Eva; Papadopoulou, Niki; De Lorenzo, Ivan; Kolb, Benedikt
  16. A Bayesian vector-autoregressive application with time-varying parameters on the monetary shocks-production network nexus By Simionescu, Mihaela; Schneider, Nicolas; Gavurova, Beata
  17. Discrete Probability Forecasts: What to expect when you are expecting a monetary policy decision By Alicia Aguilar; Ricardo Gimeno
  18. From Micro to Macro Hysteresis: Long-Run Effects of Monetary Policy By Felipe Alves; Giovanni L. Violante
  19. Forecasting short-term inflation in Argentina with Random Forest Models By Federico Daniel Forte
  20. China’s financial spillovers to emerging markets By Rodolfo G. Campos; Ana-Simona Manu; Luis Molina; Marta Suárez-Varela
  21. Estimating the Portfolio-Balance Effects of the Bank of Canada’s Government of Canada Bond Purchase Program By Antonio Diez de los Rios
  22. Inflation targeting and firm performance in developing countries By Bao We Wal Bambe; Jean-Louis Combes; Kabinet Kaba; Alexandru Minea
  23. Efficiency of Monetary policy after the Adoption of Inflation Targeting: The Case of Bank Al-Maghreb By Ahmed Hefnaoui; Ibnouzahir Youssef
  24. Constructing Divisia Monetary Aggregates for the Asian Tigers By William Barnett; JoonSoo Lee
  25. Mending the Crystal Ball: Enhanced Inflation Forecasts with Machine Learning By Yang Liu; Ran Pan; Rui Xu
  26. The Causal Effects of Inflation Uncertainty on Households' Beliefs and Actions By Georgarakos, Dimitris; Gorodnichenko, Yuriy; Coibion, Olivier; Kenny, Geoff
  27. Bank Failures and Contagion Lender of Last Resort, Liquidity, and Risk Management By William C. Dudley

  1. By: Marijn A. Bolhuis; Sonali Das; Bella Yao
    Abstract: This paper presents a new dataset of monetary policy shocks for 21 advanced economies and 8 emerging markets from 2000-2022. We use daily changes in interest rate swap rates around central bank announcements to identify unexpected shocks to the path of monetary policy. The resulting series can be used to examine cross-country heterogeneity in the impact of monetary policy shocks. We establish a new empirical fact on monetary policy spillovers across countries: the monetary policy decisions of small open economy central banks, and not just major central banks, have substantial spillover effects on swap rates and bond yields in other countries.
    Keywords: monetary policy surprises; monetary policy shocks; central banks; central bank information effect; emerging markets; high-frequency method; spillovers; monetary policy spillovers
    Date: 2024–10–11
    URL: https://d.repec.org/n?u=RePEc:imf:imfwpa:2024/224
  2. By: Hempell, Hannah S.; Silva, Fatima; Scalone, Valerio; Cornacchia, Wanda; Di Virgilio, Domenica; Palligkinis, Spyros; Velez, Anatoli Segura; Borkó, Tamás; Espic, Aurélien; Garcia, Salomón; Heires, Marcel; Herrera, Luis; Kärkkäinen, Samu; Kent, Luke; Kerbl, Stefan; Löhe, Sebastian; Oliveira, Vitor; Steikūné, Paulina
    Abstract: In recent years, monetary policy and inflation considerations have been playing an increasingly important role for macroprudential authorities in their policy setting. This paper aims to assess the implications of high inflation and rising interest rates for macroprudential policy stance. The conceptual discussions and model-based analyses included in this paper reflect on the appropriate direction and impact of macroprudential policies at the different stages of financial and business cycles, given cross-country and banking system heterogeneities. In this context, a key objective of the paper is to assess to what extent the interaction between macroprudential and monetary policies differs, given the heterogeneity across euro area countries exposed to a homogenous monetary policy. While both policies are to a large extent complementary, monetary policy may generate relevant spillovers due to its impact on the financial cycle and, potentially, on financial stability. The paper argues that the recent focus of macroprudential policy on resilience, when banking sector conditions ensure no unwarranted procyclical effects of macroprudential tightening, suggests an expansion of the notion of “complementarity” with monetary policy. Specifically, with the build-up of resilience, macroprudential policy acts de facto countercyclically, supporting monetary policy in its pursuit of price stability. In this regard, the paper stresses that the source of the inflationary shock (supply versus demand side) and the monetary environment primarily affect the intensity, speed and extent of buffer build-up or release within each stage of the financial cycle while affecting borrower-based measures in their bindingness. JEL Classification: E52, G21, G28
    Keywords: banks, borrower-based measures, capital buffers, financial stability, macroprudential policy, monetary policy
    Date: 2024–10
    URL: https://d.repec.org/n?u=RePEc:ecb:ecbops:2024358
  3. By: Jonathan Chiu; Cyril Monnet
    Abstract: This paper explores the implications of introducing digital public and private monies (e.g. tokenized central bank digital currency [CBDC] or tokenized deposits) for stablecoins and illicit crypto transactions. When they pay a high interest rate and guarantee a high degree of anonymity, these tokenized currencies crowd out stablecoins as payment methods in the crypto space. Conversely, with low anonymity and low interest rates, tokenized currencies become collateral, promoting the development of stablecoins. CBDCs dominate tokenized deposits because a central bank can better economize on scarce collateral assets and internalize the social costs of crypto activities. Prohibiting tokenized deposits may be necessary to implement the optimal CBDC design.
    Keywords: Digital currencies and fintech; Financial stability; Monetary policy
    JEL: E50 E58
    Date: 2024–10
    URL: https://d.repec.org/n?u=RePEc:bca:bocawp:24-35
  4. By: Alejandro Casado (BANCO DE ESPAÑA); David Martínez-Miera (UNIVERSIDAD CARLOS III DE MADRID AND CEPR)
    Abstract: We provide evidence that bank loan supply reactions to monetary policy changes are market-specific, emphasizing the importance of banks’ local specialization. We analyze the U.S. mortgage market and find that when monetary policy eases, banks increase new mortgage lending growth more in markets in which they are geographically specialized relative to other markets and banks. This holds after controlling for local lending opportunities and (unobservable) bank differences. Further empirical findings, supported by a simple model, suggest that banks face market-specific differences in lending advantages, related to market-specific information, leading them to exhibit different reactions to monetary policy changes. We document the aggregate effects of this geographical specialization channel both at the county (regional) level on mortgage supply and house price growth, as well as at the bank level on average specialization growth. Our study underscores the relevance of banks’ local specialization in shaping the transmission of monetary policy.
    Keywords: bank lending, federal funds rate, geographical specialization, information, monetary policy, mortgage market
    JEL: D82 E52 E58 G21 G23 L10
    Date: 2024–10
    URL: https://d.repec.org/n?u=RePEc:bde:wpaper:2440
  5. By: Ana Aguilar; Rafael Guerra; Berenice Martinez
    Abstract: This work studies the impact of global inflation on surveyed inflation expectations of private analysts in emerging market economies (EMEs), and the role central banks can play to lessen this impact. Our study uses quarterly data for 22 EMEs from 2000–23, focusing on the mean and dispersion of forecasted inflation expectations. We find three key results. Firstly, the global inflation component can affect the mean and, to a lesser extent, the dispersion of inflation expectations. For the mean of short-term inflation expectations, this effect increased in late 2021. Secondly, while the global inflation component does matter for short-term inflation expectations, the idiosyncratic inflation component (all the inflation variation that is not explained by the global component) has a stronger influence on longer-term inflation expectations. Finally, we find that monetary policy can help reduce the transmission of global inflation to inflation expectations in both the short and long term and on the dispersion of forecasters. This underscores that EME central banks have room to shape inflation expectations, even when global factors are the main cause of inflation.
    Keywords: global inflation, inflation expectations, monetary policy
    JEL: E31 E37 E52
    URL: https://d.repec.org/n?u=RePEc:bis:biswps:1217
  6. By: Romain Bouis; Mr. Gaston Gelos; Fumitaka Nakamura; Mr. Paavo A Miettinen; Erlend Nier; Gabriel Soderberg
    Abstract: This paper offers a comprehensive analysis of the implications for financial stability of a central bank issuing a digital currency to the public at large. We start with a systematic analysis of balance sheet changes that arise from the new liability for the central bank and the banking system, and examine how they depend on preconditions, central bank choices, and banking system responses. Based on this, we discuss the range of implications for financial stability that may arise in steady state, in the context of adoption, and in crisis times. Threats to financial intermediation in steady state arise mainly in situations where the central bank balance sheet expands, and triggers adjustment mechanisms that lead to more costly or less stable funding of the banking system, while in crisis times run risk may increase. Our analysis of policy choices to control these effects considers macroprudential policy, and an expansion of central bank lending to commercial banks, but finds that a main contribution needs to come from a design of the CBDC that encourages its use as a means of payment rather than a store of value.
    Keywords: Central Bank Digital Currency; Financial Stability; Balance Sheets; Disintermediation; Bank Runs
    Date: 2024–10–11
    URL: https://d.repec.org/n?u=RePEc:imf:imfwpa:2024/226
  7. By: Christian de Boissieu
    Abstract: Faced with the rise of cryptocurrencies, central banks are responding by launching their digital currencies. The purpose of this Policy Brief is to provide an update on the preparation of central bank digital currencies (CBDs) by monetary authorities, a process that concerns all emerging, developing, and more advanced countries. It is also about analyzing the conditions and some of the consequences (for banks, for financial inclusion, for the conduct of monetary policy...) of such a financial innovation, systematically distinguishing between wholesale and retail CBDCs.
    Date: 2023–04
    URL: https://d.repec.org/n?u=RePEc:ocp:rtrade:pb_19_23
  8. By: William C. Dudley (Princeton University)
    JEL: E42 E58 F33
    URL: https://d.repec.org/n?u=RePEc:pri:cepsud:330
  9. By: Juan J. Ospina-Tejeiro; José Vicente Romero
    Abstract: Transparency is often emphasized as a key element for central bank independence and the effectiveness of monetary policy. Between 2018 and 2019, the Central Bank of Colombia (Banco de la República) undertook a significant overhaul of its monetary decision-making process, which led to significant changes in how the bank works to design its monetary policy and communicate its outlook on the economy and its interest rate decisions to the public. This paper assesses how these changes may have impacted monetary transparency over time. To this end, we compute the Dincer-Eichengreen-Geraats (DEG) Transparency Index (Dinçer et al., 2019) and the Central Bank Transparency-Inflation Targeting (CBT-IT) Index (Al-Mashat et al., 2018) and find that the implemented changes led to an increase in monetary policy transparency, which, to a large degree, closed the gap with respect to the leading central banks with IT regimes and highest transparency ratings. RESUMEN: La transparencia es un elemento clave para la independencia de la banca central y la efectividad de la política monetaria. Entre 2018 y 2019, el Banco de la República emprendió una revisión significativa de su proceso de toma de decisiones monetarias, lo que condujo a cambios importantes en cómo se trabaja para diseñar la política monetaria y la forma en que se comunica y explica las perspectivas de la economía y las decisiones sobre las tasas de interés al público. Este documento evalúa cómo estos cambios han impactado la transparencia monetaria a lo largo del tiempo. Para ello, calculamos el Índice de Transparencia de Dincer-Eichengreen-Geraats (DEG) ( Dinçer et al., 2019) y el Índice de Transparencia para Bancos Centrales con Inflación Objetivo (CBT-IT) (Al-Mashat et al., 2018) y encontramos que los cambios implementados llevaron a un aumento en la transparencia de la política monetaria, que, en gran medida, cerró la brecha con respecto a los bancos centrales líderes con regímenes de inflación objetivo y las calificaciones más altas de transparencia.
    Keywords: Monetary policy, Inflation targeting, Central bank transparency, Política monetaria, inflación objetivo, transparencia de la banca central
    JEL: E0 E4
    Date: 2024–10
    URL: https://d.repec.org/n?u=RePEc:bdr:borrec:1285
  10. By: Jing Cynthia Wu; Yinxi Xie; Ji Zhang
    Abstract: We assess whether unconventional monetary and fiscal policy implemented in response to the COVID-19 pandemic in the U.S. contribute to the 2021-2023 inflation surge through the lens of several different empirical methodologies—event studies, vector autoregressions, and regional panel regressions using granular data—and establish a null result. The key economic mechanism works through a disinflationary channel in the Phillips curve while monetary and fiscal stimuli put positive pressure on inflation through the usual demand channel. We illustrate this negative supply-side channel both theoretically and empirically.
    Keywords: Inflation and prices; Monetary policy; Fiscal policy; Business fluctuations and cycles; Central bank research
    JEL: E31 E52 E63
    Date: 2024–10
    URL: https://d.repec.org/n?u=RePEc:bca:bocawp:24-38
  11. By: Jorge Abad (BANCO DE ESPAÑA); David Martínez-Miera (UC3M AND CEPR); Javier Suárez (CEMFI AND CEPR)
    Abstract: We study banks’ systemic risk-taking decisions in a dynamic general equilibrium model, highlighting the macroprudential role of bank capital requirements. Banks decide on their unobservable exposure to systemic shocks by balancing risk-shifting gains against the value of preserving their capital after such shocks. Capital requirements reduce systemic risk taking, but at the cost of reducing credit and output in calm times, generating welfare trade-offs. We find that systemic risk taking is maximal after long periods of calm and may worsen if capital requirements are countercyclically adjusted. Removing deposit insurance introduces market discipline but increases the bank capital necessary to support credit, implies lower (though far from zero) optimal capital requirements and has nuanced social welfare effects.
    Keywords: capital requirements, risk shifting, deposit insurance, systemic risk, financial crises, macroprudential policies
    JEL: G01 G21 G28 E44
    Date: 2024–10
    URL: https://d.repec.org/n?u=RePEc:bde:wpaper:2441
  12. By: Itamar Caspi; Nadav Eshel; Nimrod Segev
    Abstract: This study investigates the impact of increased debt servicing costs on household consumption resulting from monetary policy tightening. It utilizes observational panel microdata on all mortgage holders in Israel and leverages quasi-exogenous variation in exposure to adjustable-rate mortgages (ARMs) due to a regulatory shift. Our analysis indicates that when monetary policy became more restrictive, consumers with a higher ratio of ARMs experienced a more marked reduction in their consumption patterns. This effect is predominantly observed in mid- to lower-income households and those with a higher ratio of mortgage payments to total spending. These findings highlight the substantial role of the mortgage cash-flow channel in monetary policy transmission, emphasizing its implications for economic stability and inequality.
    Date: 2024–10
    URL: https://d.repec.org/n?u=RePEc:arx:papers:2410.02445
  13. By: Monia Magnani
    Abstract: We study whether and how monetary policymakers may have contributed to inflate asset price bubbles and in general what are the potentially complex, non-linear linkages between short-term policy rates and the size and expected durations of equity bubbles. In particular, we extend empirical models of periodically collapsing, rational bubbles to test whether and to what extent the long cycle of rates at the zero lower bound and of quantitative easing policies may have increased the probability of bubbles inflating and persisting, with special emphasis on the US stock market. We find that the linkages between S&P returns and rate-based indicators of monetary policies contain evidence of recurring regimes that can be characterised as one of a persisting vs. one of a collapsing bubble. Moreover, the probabilities of financial markets transitioning from a bubble to a state of (partial) collapse turns out to depend on both the initial, relative size of the bubble and on monetary policy indicators. This implies that an easier (tighter) monetary policy will inflate (deflate) a bubble through a simple, regression-style effect, but also yield a non-linear, “concave” effect by which sufficiently low (high) rates are enough for a bubble to inflate (deflate) with high probability. Besides fitting the data, the resulting, parsimonious, regime switching models provide an accurate and economically valuable predictive performance, even when transaction costs are taken into account.
    Keywords: Rational bubbles, monetary policy, stock returns, regime switching, forecasting.
    JEL: G12 E52 C58 G17
    Date: 2024
    URL: https://d.repec.org/n?u=RePEc:baf:cbafwp:cbafwp24231
  14. By: Bitter, Lea; Brand, Claus; Fonseca, Luís; Akkaya, Yıldız
    Abstract: We construct monetary policy indicators from high-frequency asset price changes following policy announcements, emphasising the concentration of asset price responses along specific dimensions and their leptokurtic distribution. Traditionally, these dimensions are identified by rotating principal components based on economic assumptions that overlook information in excess kurtosis. We employ Varimax rotation, leveraging excess kurtosis without using economic restrictions. Within a set of euro-area risk-free assets Varimax validates policy news along dimensions previously derived from structural identification approaches and rejects evidence of macroinformation shocks. Yet, once adding risky assets Varimax identifies only one risk-free factor in medium- to long-term yields and instead points to additional risk-shift factors. JEL Classification: E43, E52, E58, C46, G14
    Keywords: event study, fat tails, high-frequency identification, monetary policy instruments, Varimax
    Date: 2024–10
    URL: https://d.repec.org/n?u=RePEc:ecb:ecbwps:20242994
  15. By: Montes-Galdón, Carlos; Ajevskis, Viktors; Brázdik, František; Garcia, Pablo; Gatt, William; Lima, Diana; Mavromatis, Kostas; Ortega, Eva; Papadopoulou, Niki; De Lorenzo, Ivan; Kolb, Benedikt
    Abstract: Understanding asymmetric risks in macroeconomic variables is challenging. Most structural models used for policy analysis are linearised and therefore cannot generate asymmetries such as those documented in the empirical growth-at-risk (GaR) literature. This report examines how structural models can incorporate non-linearities to generate tail risks. The first part reviews the various extensions to dynamic stochastic general equilibrium (DSGE) models and the computational challenges involved in accounting for risk distributions. This includes the use of occasionally binding constraints and more recent developments, such as deep learning, to solve non-linear versions of DSGEs. The second part shows how the New Keynesian DSGE model, augmented with the vulnerability channel as proposed by Adrian et al. (2020a, b), satisfactorily replicates key empirical facts from the GaR literature for the euro area. Furthermore, introducing a vulnerability channel into an open-economy set-up and a medium-sized DSGE highlights the importance of foreign financial shocks and financial frictions, respectively. Other non-linearities arising from financial frictions are also addressed, such as borrowing constraints that are conditional on an asset’s value, and the way macroprudential policies acting against those constraints can help stabilise the economy and generate positive spillovers to monetary policy. Finally, the report examines how other types of tail risk beyond financial frictions – such as the recent asymmetric supply-side shocks – can be incorporated into macroeconomic models used for policy analysis. JEL Classification: E70, D50, G10, G12, E52
    Keywords: asymmetric shocks, DSGE, macroprudential policies, non-linearities, structural models, tail risks, vulnerability channel
    Date: 2024–10
    URL: https://d.repec.org/n?u=RePEc:ecb:ecbops:2024357
  16. By: Simionescu, Mihaela; Schneider, Nicolas; Gavurova, Beata
    Abstract: Transmission channels from monetary shocks might be identified by studying the features of the production network. The main aim of this paper is to provide insights about the role of production network into the propagation of monetary policy shocks in G7 economies. Time-varying Bayesian vector-autoregressions were built to compute impulse response functions of output to monetary policy shocks in these countries. Panel Auto-Regressive Distributed Lag Bound Approach based on Mean-Group estimator was used to assess the long and short-run connections between production network structure and various shocks associated to monetary policy in the period 2000–2018 and during the Great Recession (2007–2009). The results show that upstreamness is more significant than downstremness in the period 2000–2018, while the financial sector significantly contributed to the spread of various monetary shocks during the Great Recession.
    Keywords: Bayesian VAR model; monetary policy shocks; panel ARDL model; production network
    JEL: C51 C53
    Date: 2024–09–16
    URL: https://d.repec.org/n?u=RePEc:ehl:lserod:125580
  17. By: Alicia Aguilar (BANCO DE ESPAÑA); Ricardo Gimeno (BANCO DE ESPAÑA)
    Abstract: We apply discrete probability forecasts to the expectations of monetary policy rate changes, both in the United States and in the euro area. By using binomial trees from options theory, forecast distributions are derived from the instantaneous forward yield curve, based on interest rate swaps. We then use a non-randomised discrete probability forecast evaluation that confirms the presence of a systematic upward bias, consistent with the presence of a term premium. Consequently, we propose a bias-correction methodology to increase the accuracy of the density forecasts regarding monetary policy expectations. This research provides pivotal insights into understanding and improving predictive tools in monetary policy forecasting.
    Keywords: discrete probability forecast, monetary policy decisions, interest rate expectations, binomial tree
    JEL: C53 C58 G12 G17
    Date: 2024–10
    URL: https://d.repec.org/n?u=RePEc:bde:wpaper:2438
  18. By: Felipe Alves; Giovanni L. Violante
    Abstract: We develop a Heterogeneous Agent New Keynesian model with a three-state frictional labour market that is consistent with the empirical evidence that (i) low-skilled workers are more exposed to the business cycle, (ii) displacement leads to long-lasting earnings losses, and (iii) unemployment is a stepping stone toward exit from the labor force. In this environment, a transient contractionary monetary policy shock induces a very persistent reduction in labour force participation and labour productivity, especially among workers at the bottom of the skill distribution. Despite the negative hysteresis on output, the model does not give rise to protracted deflation.
    Keywords: Monetary Policy Transmission; Labour Markets
    JEL: E21 E24 E31 E32 E52 J24 J64
    Date: 2024–10
    URL: https://d.repec.org/n?u=RePEc:bca:bocawp:24-39
  19. By: Federico Daniel Forte
    Abstract: This paper examines the performance of Random Forest models in forecasting short-term monthly inflation in Argentina, based on a database of monthly indicators since 1962. It is found that these models achieve forecast accuracy that is statistically comparable to the consensus of market analysts' expectations surveyed by the Central Bank of Argentina (BCRA) and to traditional econometric models. One advantage of Random Forest models is that, as they are non-parametric, they allow for the exploration of nonlinear effects in the predictive power of certain macroeconomic variables on inflation. Among other findings, the relative importance of the exchange rate gap in forecasting inflation increases when the gap between the parallel and official exchange rates exceeds 60%. The predictive power of the exchange rate on inflation rises when the BCRA's net international reserves are negative or close to zero (specifically, below USD 2 billion). The relative importance of inflation inertia and the nominal interest rate in forecasting the following month's inflation increases when the nominal levels of inflation and/or interest rates rise.
    Date: 2024–10
    URL: https://d.repec.org/n?u=RePEc:arx:papers:2410.01175
  20. By: Rodolfo G. Campos (BANCO DE ESPAÑA); Ana-Simona Manu (EUROPEAN CENTRAL BANK); Luis Molina (BANCO DE ESPAÑA); Marta Suárez-Varela (BANCO DE ESPAÑA)
    Abstract: This paper analyzes the financial spillovers of shocks originating in China to emerging markets. Using a high-frequency identification strategy based on sign and narrative restrictions, we find that equity markets react strongly and persistently to Chinese macroeconomic shocks, while monetary policy shocks have limited or no spillovers. The impact is particularly strong in Latin American equity markets, with the likely channel being the effect of shocks in China on international commodity prices. These effects extend to various financial variables, such as sovereign and corporate spreads and exchange rates, suggesting that macroeconomic shocks in China may have implications for economic cycles and financial stability in emerging markets.
    Keywords: China, emerging markets, financial spillovers
    JEL: F31 F37 F62 F65 G15 N26
    Date: 2024–10
    URL: https://d.repec.org/n?u=RePEc:bde:wpaper:2435
  21. By: Antonio Diez de los Rios
    Abstract: I propose a novel dynamic portfolio-balance model of the yield curve for Government of Canada bonds to evaluate the portfolio-balance effects of the Bank of Canada’s Government of Canada Bond Purchase Program. My results suggest that this program, launched on March 27, 2020, in response to the COVID-19 pandemic, lowered the weighted average maturity of the Government of Canada’s debt by approximately 1.4 years. This in turn reduced Canadian 10-year and 5-year zero-coupon yields by 84 and 52 basis points, respectively
    Keywords: Asset pricing; Central bank research; Coronavirus disease (COVID-19); Interest rates; Monetary policy
    JEL: E43 E52 G12 H63
    Date: 2024–10
    URL: https://d.repec.org/n?u=RePEc:bca:bocawp:24-34
  22. By: Bao We Wal Bambe (LEO - Laboratoire d'Économie d'Orleans [2022-...] - UO - Université d'Orléans - UT - Université de Tours - UCA - Université Clermont Auvergne); Jean-Louis Combes (LEO - Laboratoire d'Économie d'Orleans [2022-...] - UO - Université d'Orléans - UT - Université de Tours - UCA - Université Clermont Auvergne); Kabinet Kaba (CERDI - Centre d'Études et de Recherches sur le Développement International - IRD - Institut de Recherche pour le Développement - CNRS - Centre National de la Recherche Scientifique - UCA - Université Clermont Auvergne); Alexandru Minea (UCA - Université Clermont Auvergne, LEO - Laboratoire d'Économie d'Orleans [2022-...] - UO - Université d'Orléans - UT - Université de Tours - UCA - Université Clermont Auvergne, Carleton University)
    Abstract: We examine the impact of inflation targeting on manufacturing firm performance in developing countries. Using a panel of 31, 027 firms in 47 countries from 2006 to 2020 and applying the entropy balancing method to mitigate selection issues, we find that inflation targeting significantly increases firm growth and productivity. The findings are economically significant and robust to various checks. Moreover, we provide evidence that our results are not biased towards unobservables nor are they confounded with the effects induced by other reforms, such as IMF programs. We further show that economic and institutional factors such as the quality of judicial processes, fiscal discipline, central bank deviations from the target, and the time length since the policy adoption also influence the link between the monetary regime and firm performance. Last, we explore the main transmission channels and identify macroeconomic stability as the key driver of the regime's effectiveness.
    Keywords: Inflation targeting, Manufacturing firm performance, Developing countries, Entropy balancing
    Date: 2024–06
    URL: https://d.repec.org/n?u=RePEc:hal:journl:hal-04734823
  23. By: Ahmed Hefnaoui (Faculté des Sciences Juridiques Economiques et Sociales Mohammedia, Université Hassan II de Casablanca); Ibnouzahir Youssef (Faculté des Sciences Juridiques Economiques et Sociales Mohammedia, Université Hassan II de Casablanca)
    Abstract: This study assesses the effectiveness of Morocco's monetary policy following the adoption of inflation targeting in 2006. The objective is to evaluate whether this strategy has stabilized inflation and supported economic growth. The methodology is based on a VAR model using quarterly data from 2007 to 2023, with Granger causality tests and impulse response functions to capture the simultaneous effects between monetary variables. The results indicate that inflation in Morocco is driven by shocks to the exchange rate and money supply, while the effect of the policy rate remains limited. Although monetary interventions have short-term effectiveness, their moderate impact suggests the need for structural reforms to enhance inflation targeting efficiency.
    Abstract: Cette étude examine l'efficacité de la politique monétaire au Maroc après l'adoption du ciblage d'inflation en 2006. L'objectif est d'évaluer si cette stratégie a permis de stabiliser l'inflation et de soutenir la croissance économique. La méthodologie adoptée repose sur un modèle VAR avec des données trimestrielles de 2007 à 2023, incluant des tests de causalité de Granger et des fonctions de réponses impulsionnelles pour mesurer l'effet simultané entre les variables monétaires. Les résultats montrent que l'inflation au Maroc est influencée par les chocs sur le taux de change et la masse monétaire, mais que l'impact du taux directeur reste limité. Les interventions monétaires, bien qu'efficaces à court terme, ont un effet modéré, ce qui suggère la nécessité de réformes structurelles pour renforcer l'efficacité du ciblage d'inflation.
    Keywords: Inflation, Inflation targeting, Monetary policy, VAR model, Policy rate, Ciblage d'inflation, Politique monétaire, Modèle VAR, Taux directeur
    Date: 2024–10
    URL: https://d.repec.org/n?u=RePEc:hal:journl:hal-04737587
  24. By: William Barnett (Department of Economics, University of Kansas, Lawrence, KS 66045, USA and Center for Financial Stability, New York City); JoonSoo Lee (Department of Economics, University of Kansas, Lawrence, KS 66045, USA Author-Name: Naowar Mohiuddin; Department of Economics, University of Kansas, Lawrence, KS 66045, USA)
    Abstract: This study constructs Divisia monetary aggregates for the “Asian Tigers†—Hong Kong (1999–2024), South Korea (2009–2024), Singapore (1991–2021), and Taiwan (2005–2024)—and assesses whether Divisia monetary aggregates explain nominal GDP better than simple-sum money. Our findings demonstrate that Divisia indices respond more sensitively to economic shocks. For Hong Kong and Taiwan, narrow Divisia money provides the best explanations for fluctuations in nominal GDP. Our results suggest that Divisia monetary aggregates can be beneficial for monetary policy analysis in these countries and underscore the importance of further research into the empirical performance of Divisia monetary aggregates in macroeconomic prediction.
    Keywords: divisia index; divisia monetary aggregates; vector error-correction model
    Date: 2024–09
    URL: https://d.repec.org/n?u=RePEc:kan:wpaper:202413
  25. By: Yang Liu; Ran Pan; Rui Xu
    Abstract: Forecasting inflation has become a major challenge for central banks since 2020, due to supply chain disruptions and economic uncertainty post-pandemic. Machine learning models can improve forecasting performance by incorporating a wider range of variables, allowing for non-linear relationships, and focusing on out-of-sample performance. In this paper, we apply machine learning (ML) models to forecast near-term core inflation in Japan post-pandemic. Japan is a challenging case, because inflation had been muted until 2022 and has now risen to a level not seen in four decades. Four machine learning models are applied to a large set of predictors alongside two benchmark models. For 2023, the two penalized regression models systematically outperform the benchmark models, with LASSO providing the most accurate forecast. Useful predictors of inflation post-2022 include household inflation expectations, inbound tourism, exchange rates, and the output gap.
    Keywords: Core inflation; forecasting; machine learning models; LASSO; Japan
    Date: 2024–09–27
    URL: https://d.repec.org/n?u=RePEc:imf:imfwpa:2024/206
  26. By: Georgarakos, Dimitris (European Central Bank); Gorodnichenko, Yuriy (University of California, Berkeley); Coibion, Olivier (University of Texas at Austin); Kenny, Geoff (European Central Bank)
    Abstract: We implement a survey-based randomized information treatment that generates independent variation in the inflation expectations and the uncertainty about future inflation of European households. This variation allows us to assess how both first and second moments of inflation expectations separately affect subsequent household decisions. We document several key findings. First, higher inflation uncertainty leads households to reduce their subsequent durable goods purchases for several months, while a higher expected level of inflation increases them. Second, an increase in uncertainty about inflation induces households to tilt their portfolios towards safe and away from riskier asset holdings. Third, higher inflation uncertainty encourages household job search, leading to higher subsequent employment among the unemployed and less under-employment among the employed. Finally, we document that the level of inflation expectations has a different effect from uncertainty in inflation expectations and thus it is crucial to take into account both to measure their separate effects on decisions.
    Keywords: inflation uncertainty, consumption, household finance, labor supply, consumer expectations survey
    JEL: E31 C83 D84 G51
    Date: 2024–09
    URL: https://d.repec.org/n?u=RePEc:iza:izadps:dp17317
  27. By: William C. Dudley (Princeton University)
    JEL: D82 E32 E44 G21 G28 G32 L25
    Date: 2024–01
    URL: https://d.repec.org/n?u=RePEc:pri:cepsud:329

This nep-cba issue is ©2024 by Sergey E. Pekarski. It is provided as is without any express or implied warranty. It may be freely redistributed in whole or in part for any purpose. If distributed in part, please include this notice.
General information on the NEP project can be found at https://nep.repec.org. For comments please write to the director of NEP, Marco Novarese at <director@nep.repec.org>. Put “NEP” in the subject, otherwise your mail may be rejected.
NEP’s infrastructure is sponsored by the School of Economics and Finance of Massey University in New Zealand.