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Benjamin Klaus
- 20 November 2024
- FINANCIAL STABILITY REVIEW - BOXFinancial Stability Review Issue 2, 2024Details
- Abstract
- This box examines the role of euro area banks in the intermediation of US dollar liquidity and maps the global structure of funding markets and their evolution. Euro area banks have significantly increased their involvement in US dollar repo and FX swap markets, particularly since the onset of the monetary policy tightening cycle in 2022. This increased intermediation exposes euro area banks and their counterparties to potential liquidity risks, especially during periods of market stress. The short-term nature of these markets, combined with high market concentration and the off-balance-sheet nature of FX swaps, can amplify the transmission of shocks. Central bank swap lines are crucial for providing dollar liquidity and mitigating these financial stability risks during times of stress.
- JEL Code
- G15 : Financial Economics→General Financial Markets→International Financial Markets
F31 : International Economics→International Finance→Foreign Exchange
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
G23 : Financial Economics→Financial Institutions and Services→Non-bank Financial Institutions, Financial Instruments, Institutional Investors
- 20 November 2024
- FINANCIAL STABILITY REVIEW - ARTICLEFinancial Stability Review Issue 2, 2024Details
- Abstract
- This edition of the ECB’s Financial Stability Review (FSR) marks the 20th anniversary of its inaugural publication. The FSR was originally launched to help in preventing financial crises, and this special feature draws lessons from two decades of experience in identifying, analysing and communicating about systemic risks via this publication. Although risk analysis and risk communication are distinct processes, the special feature emphasises that they are inextricably intertwined in a seamless cycle where each informs and enhances the other. Effective risk identification is founded on the ability to combine structured, data-driven assessments with qualitative insights and expert judgement. Such an approach requires a comprehensive and adaptive framework that continuously integrates broad reviews of indicators with focused analyses on emerging risks. Early identification of vulnerabilities enables timely intervention, but the complex, non-linear way that the financial system functions means that flexibility remains essential. Clear and transparent communication of systemic risks supports this analytical process by shaping expectations and enhancing market discipline, creating a feedback loop that strengthens both policy response and risk awareness. However, central banks face the challenge of balancing communication frequency and depth in order to avoid false alarms while at the same time maintaining credibility. As the ECB’s FSR has evolved, it has sought to become more accessible and data-driven, while utilising diverse media channels to broaden its audience. Experience confirms that targeted, proactive communication reinforces financial stability by aligning policymakers and markets, underscoring the symbiotic relationship between risk analysis and effective communication in maintaining financial system resilience.
- JEL Code
- D81 : Microeconomics→Information, Knowledge, and Uncertainty→Criteria for Decision-Making under Risk and Uncertainty
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
G01 : Financial Economics→General→Financial Crises
- 22 November 2023
- FINANCIAL STABILITY REVIEW - ARTICLEFinancial Stability Review Issue 2, 2023Details
- Abstract
- This special feature builds on the concept of maturity gap as a metric of banks’ maturity mismatch to shed light on how banks’ engagement in maturity transformation differs across euro area countries and bank types. Banks can mitigate the interest rate risk stemming from their maturity mismatch by using derivatives for hedging purposes. Euro area banks increased their positions in interest rate derivatives over the last two years in anticipation of the start of monetary policy normalisation. Significant institutions rely more than cooperative and savings banks on interest rate derivatives and have a more diversified positioning. A box within the special feature finds that this greater reliance on derivatives was not sufficient to compensate for the material increase in interest rate risk. The extent of banks’ maturity mismatch determines the sensitivity of their net interest income to changes in interest rates and the slope of the yield curve. This special feature provides empirical evidence that the more banks engage in maturity transformation, the more their net interest margin benefits from a steepening of the yield curve, boosting bank profits. This effect might dissipate going forward, especially for banks in countries where variable-rate lending predominates.
- JEL Code
- G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
G32 : Financial Economics→Corporate Finance and Governance→Financing Policy, Financial Risk and Risk Management, Capital and Ownership Structure, Value of Firms, Goodwill
- 20 November 2023
- FINANCIAL STABILITY REVIEW - BOXFinancial Stability Review Issue 2, 2023Details
- Abstract
- Euro area bank earnings have reached multi-year highs, while bank equity valuations have not substantially exceeded pre-pandemic levels. Banks’ exposure to corporate credit risk and the perception of their stocks as value stocks have contributed to the stagnant valuations. However, valuations cannot be fully explained by fundamentals and may be due to heightened uncertainty about shareholder access to returns earned by banks. Overall, this increases the cost of lending to the real economy and makes it harder for banks to raise capital.
- JEL Code
- G12 : Financial Economics→General Financial Markets→Asset Pricing, Trading Volume, Bond Interest Rates
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
G32 : Financial Economics→Corporate Finance and Governance→Financing Policy, Financial Risk and Risk Management, Capital and Ownership Structure, Value of Firms, Goodwill
G35 : Financial Economics→Corporate Finance and Governance→Payout Policy
- 31 May 2023
- FINANCIAL STABILITY REVIEW - BOXFinancial Stability Review Issue 1, 2023Details
- Abstract
- This box investigates recent changes in the cost and the composition of bank deposits. It provides estimates of the sensitivity of banks’ deposit rates to changes in policy rates, demonstrating that this depends on the type of deposit and on bank-specific characteristics. Moreover, it finds that competition in the term deposit market has been increasing recently. It goes on to show that, since the beginning of 2022, higher interest rates have increased non-financial corporations’ appetite for better remunerated deposit types, shifting banks’ deposit mixes away from stickier overnight deposits towards rate-sensitive term deposits. Finally, it hints that, going forward, rising competition and a reallocation of funds from overnight to term deposits may lead to an increase in the cost of deposits that is faster and larger than expected.
- JEL Code
- E5 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
- 30 May 2023
- FINANCIAL STABILITY REVIEW - ARTICLEFinancial Stability Review Issue 1, 2023Details
- Abstract
- The ability of market participants to access funding and conduct transactions in an efficient way is a prerequisite for financial stability, providing shock-absorption capacity and, in turn, limiting the scope for shock amplification. Market liquidity and funding liquidity are inherently connected. When market liquidity evaporates, financial market pricing becomes less reliable and tends to overreact, leading to increased market volatility and higher funding costs. Funding liquidity enables market participants to take exposures onto their balance sheets, thus absorbing fluctuations in demand and supply in the name of efficient market functioning. Under extreme conditions, markets can stop functioning altogether. While liquidity has many dimensions, from a systemic perspective the interplay between market liquidity and funding liquidity is key, as these two dimensions can reinforce each other in ways that generate liquidity spirals. Cyclical factors such as the business cycle, systemic leverage and monetary and fiscal policy affect the probability of liquidity stress arising. In the light of the current challenges of high financial market volatility, increased risk of recession, bouts of heightened risk aversion and monetary policy normalisation, this special feature constructs composite indicators for market liquidity and funding liquidity. It attempts also to identify the causes of poor market and funding liquidity conditions and to show how the two dimensions interact in the euro area.
- JEL Code
- E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
G15 : Financial Economics→General Financial Markets→International Financial Markets
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
- 15 November 2022
- FINANCIAL STABILITY REVIEW - ARTICLEFinancial Stability Review Issue 2, 2022Details
- Abstract
- Digitalisation is transforming the global economy, including by raising productivity and broadening consumer access to information. While these forces are facilitating greater competition, supporting economic growth and lowering prices, the benefits are not without risks – the flip side of digitalisation can be greater vulnerability to cyberattacks. For these to be a source of risk to financial stability, substitutability, risk correlation and interconnectedness are all key dimensions. A cyberattack on a critical infrastructure or an attack on one service that unearths vulnerabilities in another could quickly lead to system-wide stresses. Negative externalities arising from the effectiveness of financial institutions’ management of cyber risk could provide grounds for a public policy response. While the existing macroprudential policy toolkit has limited capacity to address cyber risks, their growing relevance nevertheless calls for macroprudential overseers to anticipate them, assess the capacity of the financial system to absorb them, and to issue risk warnings when warranted. In this vein, econometric evidence suggests that cyberattacks are not random, but are driven by factors such as economic strength, the degree of financial globalisation as well as policy and political uncertainty. This underscores how important it is for authorities to foster the sharing of information and the closing of data gaps on cyberattacks.
- JEL Code
- D43 : Microeconomics→Market Structure and Pricing→Oligopoly and Other Forms of Market Imperfection
D62 : Microeconomics→Welfare Economics→Externalities
D82 : Microeconomics→Information, Knowledge, and Uncertainty→Asymmetric and Private Information, Mechanism Design
E6 : Macroeconomics and Monetary Economics→Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook
G22 : Financial Economics→Financial Institutions and Services→Insurance, Insurance Companies, Actuarial Studies
G28 : Financial Economics→Financial Institutions and Services→Government Policy and Regulation
H41 : Public Economics→Publicly Provided Goods→Public Goods
- 25 May 2022
- FINANCIAL STABILITY REVIEW - BOXFinancial Stability Review Issue 1, 2022Details
- Abstract
- Relying on an economic value approach and exploiting granular supervisory data on euro area banks, this box finds that the aggregate impact of higher interest rates on bank net worth would be moderately negative, but wide variations exist at the level of individual banks. Over time, derivatives have played an offsetting role, allowing banks to reduce their interest rate risk exposures arising from on- and off-balance-sheet positioning. In line with the expectation of higher interest rates, empirical evidence from EMIR data shows that banks have increased the volume of longer-dated interest rate swaps on which they receive floating rates, mainly trading these contracts with insurance companies and pension funds.
- JEL Code
- G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
G12 : Financial Economics→General Financial Markets→Asset Pricing, Trading Volume, Bond Interest Rates
- 15 November 2021
- FINANCIAL STABILITY REVIEW - ARTICLEFinancial Stability Review Issue 2, 2021Details
- Abstract
- This special feature reviews recent trends in the consolidation of the euro area banking sector, examines the characteristics and drivers of bank M&A transactions, and analyses the impact of bank mergers and acquisitions on the performance of euro area banks. Bank mergers and acquisitions (M&As) have been subdued in the euro area since the global financial crisis. Most M&A activity has had a domestic focus and involved smaller targets, with larger and sounder acquirers acting as consolidators. Consolidation seems on average to have had a moderately positive impact on the profitability of the banks involved, although high levels of variance reveal the presence of large execution and design risks amid low overall returns on capital in the banking sector. Improved post-transaction profitability can be linked to targets’ lower cost efficiency, liquidity and capitalisation. Cross-border M&A transactions have been concentrated within a few small groups of euro area countries, supported by prior financial links and geographical proximity. Such transactions tend to be followed by a stronger improvement in profitability than domestic mergers, although this effect has diminished since the global financial crisis.
- JEL Code
- G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
G34 : Financial Economics→Corporate Finance and Governance→Mergers, Acquisitions, Restructuring, Corporate Governance
F36 : International Economics→International Finance→Financial Aspects of Economic Integration
- 23 November 2020
- FINANCIAL STABILITY REVIEW - BOXFinancial Stability Review Issue 2, 2020Details
- Abstract
- The coronavirus pandemic has threatened the existence of many euro area firms. While liquidity shortages were seen as the major threat to corporate health at the beginning of the pandemic, more recently firms’ solvency has become the primary concern. Against this backdrop, this box assesses euro area corporate vulnerabilities and the underlying factors. It develops a new composite indicator that allows analysis of the time-varying impact and the relative importance of the factors driving corporate financial soundness and risk. Using aggregate sectoral accounts data, this measure combines indicators along five dimensions: debt service capacity, leverage/indebtedness, financing/rollover, profitability and activity. According to the composite indicator, corporate vulnerabilities have increased to levels last observed at the peak of the euro area sovereign debt crisis and are largely driven by a drop in sales, lower actual and expected profitability, and an increase in leverage and indebtedness. However, extensive monetary, fiscal and prudential policy measures have limited the increase in corporate vulnerability, primarily by ensuring favourable funding conditions. So far, government loan guarantees and bankruptcy moratoria have also prevented a large wave of corporate defaults, but a sizeable number of firms could be forced to file for bankruptcy if these measures are lifted too early or bank lending conditions tighten.
- JEL Code
- E6 : Macroeconomics and Monetary Economics→Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook
G3 : Financial Economics→Corporate Finance and Governance
- 18 November 2019
- FINANCIAL STABILITY REVIEW - BOXFinancial Stability Review Issue 2, 2019Details
- Abstract
- Over the past decade, banks have been called to account for their past misconduct. The redress for misconduct has reduced the net income of euro area banks by one-third since the global financial crisis. Analysis further suggests that misconduct costs have had a negative impact on major euro area banks’ one-year buy-and-hold stock returns, after controlling for other bank-specific variables as well as bank and time fixed effects. This relationship appears to be strongest in the immediate aftermath of the global financial crisis, which might indicate greater investor concern about misconduct costs during times of stress.
- JEL Code
- G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
G38 : Financial Economics→Corporate Finance and Governance→Government Policy and Regulation
K42 : Law and Economics→Legal Procedure, the Legal System, and Illegal Behavior→Illegal Behavior and the Enforcement of Law
- 11 November 2019
- OCCASIONAL PAPER SERIES - No. 236Details
- Abstract
- This paper takes an eclectic approach to investigating the notion of overcapacities in banking along the dimensions of (i) banking sector size, (ii) bank competition and (iii) banking infrastructure/efficiency, thereby offering a nuanced and granular view of the topic. In terms of measurement, a newly developed composite indicator synthesises these different layers into a single metric of overcapacities in banking, comparing developments in major advanced economies across the globe over the period from 2006 to 2017. Offering a relative comparison across countries and time, the composite indicator suggests that most countries in the sample have managed to reduce overcapacities in banking since the onset of the global financial crisis, albeit to varying degrees, as some were better able to adapt to the changing environment than others, in particular by deleveraging, rationalising costly physical infrastructure and exploiting the benefits of technological innovation. A panel framework is then used to analyse a number of hypotheses derived from the literature, with the aim of shedding light on the determinants of overcapacities in banking, the direction of the relationship, and their relative importance. The results indicate that non-bank competition, the interest rate environment as well as bank business models are the most important driving factors of the overall degree of overcapacity in banking. With respect to the specific dimensions, non-bank competition seems to be particularly relevant for the size pillar, while demographic features and technological innovation appear to play a prominent role for explaining the competition and infrastructure/efficiency dimensions. The findings provide useful insights for policy makers concerning the possible design, calibration and effectiveness of potential policy responses that aim to address the issue of overcapacities in banking.
- JEL Code
- C12 : Mathematical and Quantitative Methods→Econometric and Statistical Methods and Methodology: General→Hypothesis Testing: General
C23 : Mathematical and Quantitative Methods→Single Equation Models, Single Variables→Panel Data Models, Spatio-temporal Models
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
L1 : Industrial Organization→Market Structure, Firm Strategy, and Market Performance
O57 : Economic Development, Technological Change, and Growth→Economywide Country Studies→Comparative Studies of Countries
- 29 May 2019
- FINANCIAL STABILITY REVIEW - BOXFinancial Stability Review Issue 1, 2019Details
- Abstract
- Despite criticism in the aftermath of the global financial crisis, the ratings assigned by the major credit rating agencies continue to play a key role for fixed income investors. Credit ratings can be considered as an overall assessment of the creditworthiness of non-financial and financial corporates. As acquiring information can be costly, they are particularly relevant for the investment decisions of fixed income investors. The classification of issuers and securities into investment grade and high yield strongly affects institutional demand and might amplify the cyclicality of banks’ asset prices and funding costs during a downturn. Against this background, this box examines trends in credit ratings of listed banks across major advanced economies with a special focus on the euro area and discusses potential financial stability implications.
- 29 May 2019
- FINANCIAL STABILITY REVIEW - BOXFinancial Stability Review Issue 1, 2019Details
- Abstract
- Weak corporate asset quality is a concern from a financial stability perspective. Distressed corporate debt has been the centrepiece of the high stock of non-performing loans (NPLs) of euro area banks. NPL stocks are a symptom of balance sheet difficulties faced by a large proportion of firms, which in turn may depress investment and employment, deprive banks of profitable lending opportunities, and therefore weigh on economic growth and the health of the banking sector itself.
- 29 November 2018
- FINANCIAL STABILITY REVIEW - BOXFinancial Stability Review Issue 2, 2018Details
- Abstract
- Global and European regulation is progressively introducing the requirement for banks to have sufficient loss-absorption and recapitalisation capacity, extending beyond equity capital. From 2019 onwards, G-SIBs need to have a minimum volume of total loss-absorbing capacity (TLAC), while all banks in the EU are being progressively informed about their bank-specific minimum requirements for own funds and eligible liabilities (MREL), subject to individual transitional periods. Against this background, this box presents developments in euro area bank bond issuance and spreads over the past years and discusses possible financial stability implications.
- 24 May 2018
- FINANCIAL STABILITY REVIEW - BOXFinancial Stability Review Issue 1, 2018Details
- Abstract
- The cost of subordinated bank debt in the euro area is low and may be susceptible to repricing. Euro area bank bond yields and spreads have narrowed significantly since mid-2016, reaching levels last observed prior to the global financial crisis. The reductions have been particularly noticeable in the markets for subordinated bonds.57 Against this background, this box first evaluates whether there are indications that the prices of these bonds may be vulnerable to a correction. It then assesses the potential financial implications stemming from a spread reversal in euro area subordinated bank bonds. The box focuses in particular on the holders of these instruments and examines the sectors that may be particularly vulnerable to a turnaround in this market.
- 24 May 2018
- FINANCIAL STABILITY REVIEW - BOXFinancial Stability Review Issue 1, 2018Details
- Abstract
- Emerging market economies have experienced accelerated financial deepening since the onset of the financial crisis. Consequently, financial stability risks emanating from emerging markets may spill over more widely to the global financial system. A key focus in this regard has been China, not least given the sheer size of its banking sector and the country’s growing role in international finance. Against this background, this box investigates the risks related to the growing size and systemic importance of Chinese banks and their possible implications for euro area financial stability.
- 24 May 2018
- FINANCIAL STABILITY REVIEW - ARTICLEFinancial Stability Review Issue 1, 2018Details
- Abstract
- This special feature analyses the distribution of interest rate risk in the euro area economy using balance sheet data and information on derivatives positions from significant credit institutions. On aggregate, banks’ interest rate risk exposure is small relative to their loss absorption capacity, but exposure varies across institutions. This variation is driven by loan rate fixation practices at country level. Banks use derivatives for hedging, but retain residual interest rate risk exposures. In fixed-rate countries the main vulnerability to rising interest rates lies with the banks that have the greatest interest rate risk, while households would be directly affected in countries with predominantly variable-rate loans. In the latter case, increased loan servicing costs due to rising interest rates could affect banks through lower asset quality.
- JEL Code
- G00 : Financial Economics→General→General
- 31 July 2017
- OCCASIONAL PAPER SERIES - No. 194Details
- Abstract
- This paper presents a new database for financial crises in European countries, which serves as an important step towards establishing a common ground for macroprudential oversight and policymaking in the EU. The database focuses on providing precise chronological definitions of crisis periods to support the calibration of models in macroprudential analysis. An important contribution of this work is the identification of financial crises by combining a quantitative approach based on a financial stress index with expert judgement from national and European authorities. Key innovations of this database are (i) the inclusion of qualitative information about events and policy responses, (ii) the introduction of a broad set of non-exclusive categories to classify events, and (iii) a distinction between event and post-event adjustment periods. The paper explains the two-step approach for identifying crises and other key choices in the construction of the dataset. Moreover, stylised facts about the systemic crises in the dataset are presented together with estimations of output losses and fiscal costs associated with these crises. A preliminary assessment of the performance of standard early warning indicators based on the new crises dataset confirms findings in the literature that multivariate models can improve compared to univariate signalling models.
- JEL Code
- G01 : Financial Economics→General→Financial Crises
E44 : Macroeconomics and Monetary Economics→Money and Interest Rates→Financial Markets and the Macroeconomy
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
E60 : Macroeconomics and Monetary Economics→Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook→General
H12 : Public Economics→Structure and Scope of Government→Crisis Management
Annexes- 31 July 2017
- ANNEX
- 8 May 2017
- WORKING PAPER SERIES - No. 2057Details
- Abstract
- This paper predicts phases of the financial cycle by combining a continuous financial stress measure in a Markov switching framework. The debt service ratio and property market variables signal a transition to a high financial stress regime, while economic sentiment indicators provide signals for a transition to a tranquil state. Whereas the in-sample analysis suggests that these indicators can provide an early warning signal up to several quarters prior to the respective regime change, the out-of-sample findings indicate that most of this performance is due to the data gathered during the global financial crisis. Comparing the prediction performance with a standard binary early warning model reveals that the MS model is outperforming in the vast majority of model specifications for a horizon up to three quarters prior to the onset of financial stress.
- JEL Code
- C54 : Mathematical and Quantitative Methods→Econometric Modeling→Quantitative Policy Modeling
G01 : Financial Economics→General→Financial Crises
G15 : Financial Economics→General Financial Markets→International Financial Markets
- 15 December 2015
- WORKING PAPER SERIES - No. 1873Details
- Abstract
- This paper introduces a new methodology to date systemic financial stress events in a transparent, objective and reproducible way. The financial cycle is captured by a monthly country-specific financial stress index. Based on a Markov Switching model, high financial stress regimes are identified and a simple algorithm is used to select those episodes of financial stress that are associated with a substantial negative impact on the real economy. By applying this framework to 27 EU countries, the paper is a first attempt to provide a chronology of systemic financial stress episodes in addition to the expert-detected events available so far.
- JEL Code
- C54 : Mathematical and Quantitative Methods→Econometric Modeling→Quantitative Policy Modeling
G01 : Financial Economics→General→Financial Crises
G15 : Financial Economics→General Financial Markets→International Financial Markets
- 26 June 2015
- WORKING PAPER SERIES - No. 1819Details
- Abstract
- We study the business cycle properties of the four largest euro area economies in the wake of the recent recession episodes. The analysis is based on the factors estimated from a multi-country and multi-sector data-rich environment. We measure alikeness of business cycles by studying the synchronization of up and down phases, the convergence properties of country fluctuations towards the euro area cycles and the contribution of the euro area factor to national GDP volatilities. While the economic fluctuations of the four euro area member states were similar before the global financial turmoil, we gather compelling evidence of an asymmetric behaviour of Spanish fluctuations relative to the euro area one.
- JEL Code
- C51 : Mathematical and Quantitative Methods→Econometric Modeling→Model Construction and Estimation
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
O52 : Economic Development, Technological Change, and Growth→Economywide Country Studies→Europe
- 27 November 2014
- FINANCIAL STABILITY REVIEW - ARTICLEFinancial Stability Review Issue 2, 2014Details
- Abstract
- This special feature discusses ways of measuring financial cycles for macro-prudential policymaking. It presents some estimates and empirical characteristics of financial cycles. Existing studies on financial cycle measurement remain quite nascent in comparison with the voluminous literature on business cycles. In this context, two approaches – turning point and spectral analysis – are used to capture financial and business cycles at the country level. The results of the empirical analysis suggest that financial cycles tend to be more volatile than business cycles in the euro area, albeit with strong cross-country heterogeneity. Both aspects underscore the relevance of robust financial cycle estimates for macro-prudential policy design in euro area countries.
- JEL Code
- G00 : Financial Economics→General→General
- 17 March 2014
- WORKING PAPER SERIES - No. 1658Details
- Abstract
- We measure the commonality in hedge fund returns, identify its main driving factor and analyse its implications for financial stability. We find that hedge funds
- JEL Code
- G01 : Financial Economics→General→Financial Crises
G10 : Financial Economics→General Financial Markets→General
G11 : Financial Economics→General Financial Markets→Portfolio Choice, Investment Decisions
G23 : Financial Economics→Financial Institutions and Services→Non-bank Financial Institutions, Financial Instruments, Institutional Investors
- 16 November 2009
- WORKING PAPER SERIES - No. 1112Details
- Abstract
- This paper aims at analysing the mortality patterns of hedge funds over the period January 1994 to May 2008. In particular, we investigate the extent to which a spillover of risk among hedge funds through redemptions and failures of other funds has affected the probability of fund failure. We find that risk spill-over is significantly related to the failure probability of hedge funds, with the relation being more pronounced for redemptions than for failures of other funds. Hedge funds within the same investment style are adversely affected through both channels of risk spillover. In addition, we find that funds being diversified in assets and geographically have a significantly lower failure probability and are not affected by risk spillover via redemptions.
- JEL Code
- G11 : Financial Economics→General Financial Markets→Portfolio Choice, Investment Decisions
G20 : Financial Economics→Financial Institutions and Services→General
G23 : Financial Economics→Financial Institutions and Services→Non-bank Financial Institutions, Financial Instruments, Institutional Investors
G33 : Financial Economics→Corporate Finance and Governance→Bankruptcy, Liquidation