To: Investment Team
From: Senior Economist (Eurozone)
Date: September 30, 2026
Subject: Analysis of Recent ECB and NCB Research Publications
I have reviewed the latest research cycle from the ECB and national central banks. While there is a heavy emphasis on technical forecasting and AI, several papers provide critical insights into the structural transmission of monetary policy and the evolving risk landscape of the Eurozone.
The following publications are the most analytically significant for our current positioning:
1. [ECB] Monetary policy transmission by securitising banks (Paper 6): This research demonstrates that banks active in securitization adjust their lending behavior differently in response to policy shifts compared to traditional hold-to-maturity banks. For us, this means the "pass-through" of ECB rate changes is not uniform across the banking sector, potentially creating pockets of credit resilience or vulnerability depending on a bank's balance sheet structure.
2. [ECB] The impact of macroprudential policy fragmentation on corporate lending (Paper 9): The authors introduce a novel index showing that divergent capital buffer requirements across member states are creating "fragmentation" in corporate lending. This suggests that the "Single Market" for credit is still a myth; credit availability for firms is being driven more by national regulatory idiosyncrasies than by aggregate Eurozone monetary policy.
3. [DBB] Carbon pricing, trade and the natural rate (Paper 10): This paper explores how the transition to a green economy and carbon pricing affects the $r^*$ (natural rate of interest). If carbon pricing structurally alters investment patterns and productivity, the ECB may be forced to calibrate its long-term neutral rate higher or lower than historical averages, fundamentally changing our terminal rate projections.
4. [ECB] Endogenous monetary policy effectiveness (Paper 19): The study finds that the impact of policy tightenings and loosenings is asymmetric and varies across the policy cycle. This is a critical warning for our models: the "multiplier" of an ECB rate hike in a restrictive environment may be significantly different from a cut in an accommodative one, suggesting we should avoid linear projections for policy impact.
5. [ECB] Inflation narratives and risk premia (Paper 8): By analyzing whether markets perceive inflation as supply-driven or demand-driven, this paper links "narratives" to actual risk premia in bond yields. This implies that the source of inflation (e.g., energy shocks vs. wage growth) matters as much as the level of inflation for pricing the long end of the sovereign curve.
6. [ECB] Out with the new, in with the old? Supranational bank supervision and the composition of firm investment (Paper 11): This examines how the Single Supervisory Mechanism (SSM) has shifted the types of firms receiving credit. It suggests that centralized supervision may be inadvertently favoring established firms over innovative ones, which could act as a drag on Eurozone productivity growth in the medium term.
Synthesis:
The research indicates that the "transmission mechanism" is increasingly fragmented, both by bank business models and national macroprudential rules, making a "one-size-fits-all" policy impact unlikely. Furthermore, the integration of carbon pricing and asymmetric policy effectiveness suggests that the ECB's path to a neutral rate will be more volatile and structurally complex than previously modeled.
The paper proposes a framework for computing impulse responses for scenario probabilities and predictive distributions of macroeconomic outcomes. It utilizes a regime-dependent mixture VAR with endogenous state probabilities to move beyond point forecasts toward risk-based assessments.
Macroeconomic policy increasingly requires assessments of risk rather than point forecasts alone. This paper develops a framework to compute impulse responses for scenario probabilities and the full predictive distribution of macroeconomic outcomes. The approach combines a regime-dependent mixture VAR with endogenous state probabilities and heteroskedastic shock identification, complemented by sparse sign and narrative restrictions. Applied to the euro area and U.S., the framework addresses a central policy question following the outbreak of the 2026 Iran war: do geopolitical shocks imply a re
The paper examines the integration of domestic fast payment systems to reduce costs and delays in cross-border transactions. It evaluates the impact of these interlinkages on economic efficiency in alignment with G20 objectives.
Cross-border payments are often slow and costly with many regions underserved by current arrangements. In line with the G20 Roadmap for Enhancing Cross-border Payments, several countries and regions, including the euro area, are working to interlink their domestic fast payment systems as a way to improve speed, cost and transparency. Econometric evidence suggests that countries with interlinked systems trade about 4% more with each other – around half of the effect of a trade agreement and a quarter of the effect of a common currency. The trade gains from interlinking fast payment systems are
This research analyzes the transmission mechanism of central bank communication to financial markets. It assesses how qualitative guidance via speeches and interviews influences market expectations and asset pricing.
The paper examines how securitisation influences the transmission of monetary policy through the banking sector in the euro area. It finds that banks utilizing securitisation exhibit a stronger adjustment in credit supply following monetary policy shocks due to expanded lending capacity.
This paper studies whether securitisation affects monetary policy transmission via banks. Using granular loan-level data from the euro area, we show that banks actively engaged in securitisation adjust credit supply more strongly in response to monetary policy shocks than a matched sample of non-securitising banks. This is because securitisation expands banks’ lending capacity, but by increasing reliance on investors whose required returns and risk appetite are more sensitive to monetary policy conditions. Following a monetary tightening, these investors demand higher compensation and reduce t
This research analyzes the impact of artificial intelligence on financial intermediation and information production within securities markets. It explores how algorithmic advances shift decision-making processes and alter labor demand for financial professionals.
Artificial intelligence is transforming financial markets by enabling investors and intermediaries to extract more information from increasingly abundant data through advances in algorithms and computing power. We discuss how AI changes information production and decision-making, labor demand, and financial intermediation, with a particular emphasis on securities markets. We then survey the implications of this transformation for market efficiency, competition, informational frictions, and financial stability.
The paper examines how inflation risk premia fluctuate based on whether market participants perceive supply or demand shocks as the primary drivers of price changes. It utilizes a causality extraction method on Financial Times news to quantify these narratives within the Eurozone.
Theory suggests inflation risk premia are positive when supply shocks are expected to dominate demand shocks and negative otherwise. We measure these beliefs using demand and supply narratives derived from inflation news via Causality Extraction, which identifies causal relations between inflation and its drivers. Using narrative extracted from inflation news from the Financial Times for the Euro Area and the Wall Street Journal for the US, our key variable, NetDemand, measures the difference in articles attributing inflation to demand versus supply factors. Consistent with asset pricing theor
The authors develop a new bank-level index to measure the fragmentation of capital buffer requirements across the euro area. The study analyzes how this regulatory inconsistency impacts corporate lending behavior and overall financial stability.
We construct a novel bank-level index that quantifies fragmentation in the capital buffer framework faced by euro area banks. Defined at quarterly frequency, it measures fragmentation by looking at the number of simultaneously active buffers, their geographical dispersion, and the frequency of buffer rate changes within the preceding year. The index is orthogonalised with respect to the level of capital requirements, bank size, and the financial cycle, thus controlling for these factors when measuring fragmentation as defined above. We then show that a one standard deviation increase in the in
The paper analyzes the impact of the Single Supervisory Mechanism on firm investment patterns. It finds that supranational supervision leads to a reduction in the share of intangible assets among borrowing firms compared to those under national supervision.
Using exogenous variation generated by the creation of the Single Supervisory Mechanism (SSM) in the euro area, we find that relative to firms borrowing from banks subject to national supervision, firms borrowing from banks subject to supranational supervision reduce their share of intangible assets. This effect does not pre-date the supervisory reform and it does not obtain in non-SSM jurisdictions. The reallocation of investment away from intangible assets is stronger for small and young firms and appears to be driven by a short-term reduction in lending and a persistent increase in collater
This study investigates the interaction between bank competition and credit risk, specifically how regulatory capital levels moderate this relationship. It utilizes ECB supervisory data to assess the implications for risk-based supervision and deregulation.
This paper examines how bank capital conditions the effect of competition on credit risk in lending markets, informing the debate on banking competition, deregulation, and risk-based supervision. Using ECB supervisory data for 146 euro area banks across 19 countries over 2020Q2–2025Q3, we analyze whether this relationship depends on banks’ regulatory capital positions. We find that greater market power is associated with higher subsequent credit risk, while stronger capitalization is associated with lower risk. Crucially, competition reduces credit risk primarily for well-capitalized banks, wh
The paper proposes a method to integrate nonparametric survey density forecasts from the SPF into model-based predictive distributions using entropic tilting. This approach aims to preserve rich distributional information that is typically lost in moment-based approximations.
We develop a direct approach to incorporating survey density forecasts into model-based predictive distributions. Histogram forecasts from the U.S. Survey of Professional Forecasters (SPF) carry rich nonparametric information about expected outcomes, but existing methods rely on moment-based approximations that discard part of it. We instead tilt entropically to the histogram probabilities themselves, matching them exactly. After reformulating the single-histogram problem, we derive a new analytic characterization of the multiple-histogram case, solved by Iterative Proportional Fitting and app
The authors develop a framework for creating daily financial news sentiment indices using transformer-based language models to improve upon dictionary-based methods. The study evaluates the ability of these models to capture semantic structure and context for economic forecasting.
Measuring sentiment from financial news is a central task in economics and finance, yet most existing indicators rely on dictionary-based approaches that infer sentiment from word counts and only partially capture context, negation, and semantic structure. This paper proposes a framework for constructing daily news mood indices using transformer-based language models and evaluates whether they better represent sentiment than dictionary-based alternatives. Using 143,755 financial news articles from Factiva, we classify sentiment at the sentence level with FinBERT and aggregate these predictions
The paper evaluates the impact of corporate loan moratoria in Austria during the 2020 crisis, focusing on liquidity provision. It finds a moderate take-up rate of 44% among eligible firms, suggesting that such policy tools may not be fully utilized by the target population.
Suspending loan repayments is a widely used policy tool to provide liquidity during crises. We study the take-up and real effects of the 2020 Austrian corporate debt moratoria, which required banks to temporarily postpone loan repayments for eligible firms. Exploiting a discontinuity in eligibility at a two-million-euro asset threshold, we document a take-up rate of 44%, well below full participation, reflecting both the pecuniary cost of the policy and firms’ fear of stigmatization. Despite the moderate take-up, moratoria increase investment and profitability without increasing defaults once
The paper analyzes the divergent saving patterns across European households and the underlying socioeconomic drivers of these behaviors. It proposes strategies to mobilize these idle savings to foster investment and long-term economic growth.
This study examines the asymmetric effectiveness of monetary policy tightenings versus loosenings across the policy cycle. It utilizes a nonlinear framework to demonstrate how endogenous financial exposure influences the macroeconomy's response to policy shifts.
How does the effectiveness of monetary policy vary over the policy cycle? Do tightenings and loosenings have symmetric effects on the macroeconomy? This paper addresses these questions using a nonlinear empirical framework that allows financial exposure to evolve endogenously in response to macroeconomic conditions and monetary policy changes. We provide new evidence on how monetary policy effectiveness varies over the policy cycle and across economic states. We find that i) monetary policy transmits more strongly to the real economy in periods of elevated private-sector financial exposure; ii
The paper investigates the transmission of Federal Reserve monetary policy to interest rates within Decentralized Finance (DeFi) protocols for USD-pegged stablecoins. It finds significant and persistent spreads between traditional short-term rates and DeFi deposit rates, indicating a weak transmission mechanism.
Does the Federal Reserve’s monetary policy influence the rates on USD-pegged stablecoins? While major stablecoin issuers do not pay interest, investors can earn returns by depositing stablecoins in Decentralized Finance (DeFi) protocols. We document unusually large and persistent spreads between traditional short-term interest rates and DeFi deposit rates, as well as a weak and unstable transmission of policy rate changes. We show that, in the short run, monetary policy shocks can move stablecoin rates in the opposite direction of policy rates, delaying a convergence that occurs only over the
This study analyzes the impact of government spending shocks on private consumption and sectoral spillovers using an open-economy HANK model. It demonstrates that fiscal expansion in non-tradable services stimulates consumption and leads to a relative decline in goods prices.
Government spending falls disproportionately on non-tradable services. We show empirically that government spending shocks stimulate private consumption along with sizable spillovers to the goods sector and a relative decline in goods prices. We rationalize these findings with a two-sector open-economy HANK model. Uninsurable income risk and precautionary savings lead to a persistent income-driven expansion in private consumption. In the tradable sector, import intensity and limited labor reallocation dampen wage pass-through to prices, matching observed co-movements. The resulting expenditure
The paper analyzes the macroeconomic implications of stablecoins, focusing on their potential impact on monetary sovereignty and the transmission of monetary policy. It examines how these digital assets could influence the demand for central bank money and the stability of the financial system.
The paper examines how the safe haven status of certain assets influences the transmission of international financial shocks. It analyzes the mechanisms through which global risk aversion affects capital flows and financial stability across borders.
This research analyzes the interaction between carbon pricing mechanisms, international trade dynamics, and the equilibrium natural rate of interest. It explores how the transition to a low-carbon economy influences long-term macroeconomic stability.
The authors compare macroeconomic models to evaluate the impact of price fluctuations in carbon-intensive energy. The research focuses on the resulting effects on inflation and overall economic output during the energy transition.
This research examines the trade-off between ignoring transitory sectoral shocks and preventing the de-anchoring of inflation expectations. It argues that the ability to 'look through' such shocks depends heavily on the strength of the central bank's credibility.
The paper examines how sentiment-driven expectations, characterized by optimism and pessimism, shape inflation dynamics. It further analyzes the consequences of these psychological factors for the implementation and effectiveness of monetary policy.
The paper examines how the design and methodology of the Survey of Professional Forecasters (SPF) influence the way professional forecasters communicate macroeconomic uncertainty. It argues that survey framing significantly impacts the reported expectations, which has implications for how policymakers interpret forecasting data.