Katia Colaneri, Federico D’Amario, Daniele Mancinelli “Carbon-Penalised Portfolio Insurance Strategies in a Stochastic Factor Model with Partial Information”

Mag 29 2026
Katia Colaneri, Federico D’Amario, Daniele Mancinelli “Carbon-Penalised Portfolio Insurance Strategies in a Stochastic Factor Model with Partial Information”

Abstract: We investigate optimal proportional portfolio insurance (PPI) strategies aimed at reducing exposure to carbon intensive stocks. PPI strategies enable investors to mitigate downside risk while retaining the potential for upside gains. In this paper we determine the PPI strategies to maximise the expected utility of the terminal cushion, where the terminal cushion is penalised proportionally to the realised volatility of stocks issued by firms operating in carbon-intensive sectors. We model the risky assets’ dynamics using geometric Brownian motions whose drift rates are modulated by an unobservable common stochastic factor to capture market-specific or economy-wide state variables that are typically not directly observable. Using the classical stochastic filtering theory, we formulate a suitable optimisation problem and solve it for the CRRA utility function. We characterise optimal carbon-penalised PPI strategies and optimal value functions under full and partial information. We also carry a numerical analysis showing that the proposed strategy reduces carbon-emissions intensity without compromising financial performance.

To appear in Scandinavian Acturial Journal

https://arxiv.org/abs/2511.19186

Iñaki Aldasoro, Sebastian Doerr, and Haonan Zhou, “Liquidity regulation and bank funding costs”
Bank for International Settlements, Working Paper n° 1352

Mag 29 2026
Iñaki Aldasoro, Sebastian Doerr, and Haonan Zhou, “Liquidity regulation and bank funding costs” Bank for International Settlements, Working Paper n° 1352

Abstract: We establish a causal link between liquidity regulation and a lower cost of bank wholesale funding. For identification, we use pre-determined variation in banks’ liquidity coverage ratio (LCR) in a difference-in-differences setup. Granular instrument-level data allow us to carefully control for any observable and unobservable time-varying factors at the creditor, instrument type, and macroeconomic levels. We find that banks with greater LCR exposure see a steeper decline in their wholesale funding costs. Consistent with seminal theoretical papers on bank liquidity risk, we provide novel evidence that wholesale funding costs decline by more for longer-maturity instruments and that banks shift from short to longer maturity liabilities. Our results support the argument that bank regulation can– at least partly– offset its costs to intermediaries through cheaper wholesale funding.

https://www.bis.org/publ/work1352.htm

Nordine Abidi, Leonardo Gambacorta, Christoffer Kok, Leonardo Madio, Ixart Miquel-Flores, and Alberto Partida, “Disciplining digital risk: evidence from cyber stress tests”
Bank for International Settlements, Working Papers n° 1351

Mag 29 2026
Nordine Abidi, Leonardo Gambacorta, Christoffer Kok, Leonardo Madio, Ixart Miquel-Flores, and Alberto Partida, “Disciplining digital risk: evidence from cyber stress tests”Bank for International Settlements, Working Papers n° 1351

Abstract: Investment in cybersecurity in an interconnected banking system has public-good proper-ties: positive externalities can generate systemic underinvestment. Using confidential supervi-sory data from the European Central Bank, we first identify “laggard” European banks that underinvest relative to their cyber-risk profiles, and then examine how supervisory scrutiny affects their incentives to invest. We exploit the 2024 ECB Cyber Resilience Stress Test (CyRST) as a quasi-natural experiment. In a difference-in-differences design, we find that following the CyRST announcement, laggard banks increased cybersecurity investment by about 80% relative to their peers. The response is stronger among laggards subject to high-intensity supervisory oversight, consistent with scrutiny exerting a disciplining effect. Overall, the results suggest that targeted supervisory scrutiny may help mitigate underinvestment incentives and strengthen banks’ operational risk management.

https://www.bis.org/publ/work1351.htm

Yevheniia Bondarenko, Nayeon Kang, Vivien Lewis, Matthias Rottner, and Yves S. Schüler “Geopolitical Risk in the Euro Area: Measurement and Transmission”
Deutsche Bundesbank, Working Paper n° 5/2026

Mag 29 2026
Yevheniia Bondarenko, Nayeon Kang, Vivien Lewis, Matthias Rottner, and Yves S. Schüler “Geopolitical Risk in the Euro Area: Measurement and Transmission” Deutsche Bundesbank, Working Paper n° 5/2026

Abstract: Geopolitical risk is a major concern for the euro area, yet widely used measures largely reflect a US perspective. We introduce a geopolitical risk indicator tailored to the euro area using local European news sources. Shocks to this index have significant recessionary and inflationary consequences in the euro area, effects that would be missed when relying on the corresponding US-based measure. We estimate that the Russo Ukrainian War imposed substantial output losses and inflationary pressures on the euro area in 2022. Combining structural scenario analysis with end-of-sample now casting, we show that euro area prospects are highly sensitive to future developments in geopolitical risk. We complement these analyses with two news-based measures of sanctions intensity and shortages for the euro area.

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6764858

Cara Bordier, Lukas Frei, and Simon Stalder “Dollar Dominance: A Source of Dollar Volatility?”
Swiss National Bank, Working Paper n° 5/2026

Mag 29 2026
Cara Bordier, Lukas Frei, and Simon Stalder “Dollar Dominance: A Source of Dollar Volatility?” Swiss National Bank, Working Paper n° 5/2026

Abstract: The US dollar (USD) is involved in 88% of global foreign exchange transactions, partly due to its role as a vehicle currency. Using high-frequency data from primary interdealer platforms, we develop a novel methodology to identify USD cross-trades. We show both theoretically and empirically that such trades can generate price fluctuations in USD exchange rates. Employing an instrumental variables approach, we find that increased cross-trading activity amplifies aggregate USD volatility. These results highlight a fundamental trade-off: while dollar dominance enhances market liquidity, it also increases the currency’s exposure to shocks originating in other currency pairs.

https://www.snb.ch/en/publications/research/working-papers/2026/working_paper_2026_05

Matthew Read “Shock-percentile Restrictions for SVARs”
Reserve Bank of Australia, Working Paper n° 2026-01

Mag 29 2026
Matthew Read “Shock-percentile Restrictions for SVARs”Reserve Bank of Australia, Working Paper n° 2026-01

Abstract: I propose identifying structural vector autoregressions using ‘shock-percentile’ restrictions. These restrictions require the realisation of a structural shock in a selected episode to lie in the tail of the shock’s historical distribution, representing the belief that a relatively large shock has occurred. I argue that shock-percentile restrictions are an attractive alternative to imposing numeric bounds on shock magnitudes, which are difficult to credibly elicit. Simulations demonstrate the potential for shock-percentile restrictions to provide identifying information. In two empirical applications, I exploit shock-percentile restrictions to disentangle the relationship between uncertainty and real activity, and to sharpen identification of the macroeconomic effects of US monetary policy.

https://www.rba.gov.au/publications/rdp/2026/2026-01/full.html

Christian Friedrich and Laura Zhao “Patterns and Determinants of Global Cryptocurrency Flows”
Bank of Canada, Working paper 2026-15

Mag 29 2026
Christian Friedrich and Laura Zhao “Patterns and Determinants of Global Cryptocurrency Flows”Bank of Canada, Working paper 2026-15

Abstract: In this paper, we examine the patterns and determinants of cross-border cryptocurrency flows. While our analysis focuses primarily on Bitcoin flows, the cryptocurrency with the largest market capitalization, we show that our key results also extend to four major stablecoins. After documenting global patterns of cross-border Bitcoin flows and contrasting them with those of traditional capital flows, we employ a cross-country panel approach to identify the key drivers of cross-border crypto flows for up to 162 countries. Our results provide evidence for the presence of multiple coexisting motives. The most significant motives comprise strategies to adjust to unfavorable macro and financial developments, as well as the need to conduct international payment and remittance transfers. Moreover, by conducting a case study of cross-border Bitcoin flows after the COVID-19 shock, we find that these motives were particularly relevant at a time when economic conditions were weak and the need for remittances appeared high. Gaining a better understanding of the motives behind cross-border cryptocurrency transactions is crucial for informing the public debate on cryptocurrencies and their potential use cases.

https://www.bankofcanada.ca/2026/05/staff-working-paper-2026-15

Mattia Bevilacqua, Jon Danielsson, Lerby Ergun, Andreas Uthemann, and Jean-Pierre Zigrand “Central Bank Crisis Interventions and the Term Structure of Market Fear”
Bank of Canada, Working paper 2026-17

Mag 29 2026
Mattia Bevilacqua, Jon Danielsson, Lerby Ergun, Andreas Uthemann, and Jean-Pierre Zigrand “Central Bank Crisis Interventions and the Term Structure of Market Fear”Bank of Canada, Working paper 2026-17

Abstract: We study the impact of Fed crisis interventions on market fears — the perceived risk of large asset price drops. To do so, we develop a methodological framework that allows us to evaluate the causal effect of unexpected Fed actions on changes in market fears. We extract daily fear term structures from options markets with event horizons ranging from two weeks to ten years. We then use high-frequency price movements around crisis announcements for a wide range of financial assets, including FX, equity, and fixed income markets, to isolate the shock component of Fed interventions. We can measure the heterogeneous effects of various crisis tools by classifying Fed announcement shocks into five different policy groups. Applying this to the market turmoil of 2020, we find that the Fed impacts market fear via risk and information effects. The risk channel dominates at short to medium terms and works via asset purchases, whereas the information channel dominates at longer terms and operates via interest rate policies.

https://www.bankofcanada.ca/2026/05/staff-working-paper-2026-17

Brooke E. Hathhorn, Laura E. Jackson, and Michael T. Owyang “Does Uncertainty Really Predict Recessions?”
FEDERAL RESERVE BANK OF ST. LOUIS, Working Paper n° 2026-010A

Mag 29 2026
Brooke E. Hathhorn, Laura E. Jackson, and Michael T. Owyang “Does Uncertainty Really Predict Recessions?” FEDERAL RESERVE BANK OF ST. LOUIS, Working Paper n° 2026-010A

Abstract: We evaluate the ability of economic uncertainty measures to forecast recessions in real time. We find that including uncertainty increases the predictive power of both in sample and out-of-sample forecast models relative to a baseline set of financial variables. A nonlinear maximum transformation of uncertainty, which captures whether a measure exceeds its maximum over the past year, improves forecast performance for some measures. Adding a contemporaneous indicator like GDP growth alongside uncertainty yields additional predictive gains. Lastly, ex post Bayesian model averaging outperforms individual uncertainty models and ex ante factors of uncertainty generated using principal component analysis.

https://fedinprint.org/item/fedlwp/103289/original

Celso Brunetti and Christoph Frei “Bank Regulation and the Rise of Nonbank Intermediation”
Federal Reserve Board (Board of Governors), Working Paper n° 2026-030

Mag 29 2026
Celso Brunetti and Christoph Frei “Bank Regulation and the Rise of Nonbank Intermediation” Federal Reserve Board (Board of Governors), Working Paper n° 2026-030

Abstract: We study the rise of nonbank financial intermediation and its implications for systemic risk. We develop a structural network model of banks and nonbank financial institutions (NBFIs) that decomposes intermediation into a capacity channel, driven by bank balance-sheet constraints, and a reliance channel, reflecting NBFI funding reliance. Using U.S. banking confidential supervisory data, we estimate key structural parameters and quantify both channels. We find that fluctuations in bank-NBFI intermediation are primarily explained by the reliance channel, with variation in NBFI fragility emerging as the dominant driver. We show that NBFI intermediation can amplify shocks through funding interconnectedness.

https://www.federalreserve.gov/econres/feds/bank-regulation-and-the-rise-of-nonbank-intermediation.htm