Nije dostupno na hrvatskom jeziku.
Linda Rousová
Macro Prud Policy&Financial Stability
- Division
Market-Based Finance
- Current Position
-
Team Lead - Financial Stability
- Fields of interest
-
Financial Economics,Macroeconomics and Monetary Economics,International Economics
- Education
- 2005-2009
PhD in Economics, University of Munich, Munich, Germany
- 2000-2005
MA in Mathematics, Charles University, Prague, Czech Republic
- Professional experience
- 2021-
Team Lead – Market-Based Finance Division, Directorate General Financial Stability & Macro Pru Policy, European Central Bank
- 2011-2021
Positions in Directorates General Financial Stability & Macro Pru Policy, Economics and Statistics, European Central Bank
- 2010-2011
Economist, Organisation for Economic Co-operation and Development, Paris, France
- 2007-2009
Consultant and Trainee, World Trade Organization, Geneva, Switzerland
- 2006-2009
Research Assistant, University of Munich, Munich, Germany
- Awards
- 2005
Doctoral scholarship, German Research Foundation (2005-2009)
- 2005
Best diploma thesis in Probability, Statistics and Econometrics – Charles University in Prague
- 2005
Award in Student Research Contest in Mathematics, Czech & Slovak Republics
- 2004
McKinsey & Company Scholarship
- Teaching experience
- 2006-2009
Econometrics, University of Munich, Germany
- 23 March 2023
- WORKING PAPER SERIES - No. 2800Details
- Abstract
- During the March 2020 market turmoil, euro area money-market funds (MMFs) expe-rienced significant outflows, reaching almost 8% of assets under management. This paper investigates whether the volatility in MMF flows was driven by investors’ liquidity needs re-lated to derivative margin payments. We combine three highly granular unique data sources (EMIR data for derivatives, SHSS data for investor holdings of MMFs and Refinitiv Lip-per data for daily MMF flows) to construct a daily fund-level panel dataset spanning from February to April 2020. We estimate the effects of variation margin paid and received by the largest holders of EUR-denominated MMFs on flows of these MMFs. The main findings suggest that variation margin payments faced by some investors holding MMFs were an im-portant driver of the flows of EUR-denominated MMFs domiciled in euro area.
- JEL Code
- G13 : Financial Economics→General Financial Markets→Contingent Pricing, Futures Pricing
G15 : Financial Economics→General Financial Markets→International Financial Markets
G23 : Financial Economics→Financial Institutions and Services→Non-bank Financial Institutions, Financial Instruments, Institutional Investors
- 16 December 2022
- WORKING PAPER SERIES - No. 2756Details
- Abstract
- Stricter derivative margin requirements have increased the demand for liquid collateral but euro area investment funds which use derivatives extensively have been reducing their liquid asset holdings. Using transaction-by-transaction derivatives data, we assess whether the current levels of funds’ holdings of cash and other highly liquid assets would be adequate to meet funds’ liquidity needs to cover variation margin calls on derivatives under a range of stress scenarios. The estimates suggest that between 13% and 33% of euro area funds with sizeable derivatives exposures may not have sufficient liquidity buffers to meet the calls. As a result, they are likely to redeem MMF shares, procyclically sell assets and draw on credit lines, thus amplifying the market dynamics under such stress scenarios. Our findings highlight the importance of further work to assess the potential role of macroprudential policies for non-banks, particularly regarding liquidity risk in funds.
- JEL Code
- C60 : Mathematical and Quantitative Methods→Mathematical Methods, Programming Models, Mathematical and Simulation Modeling→General
G23 : Financial Economics→Financial Institutions and Services→Non-bank Financial Institutions, Financial Instruments, Institutional Investors
G13 : Financial Economics→General Financial Markets→Contingent Pricing, Futures Pricing
G17 : Financial Economics→General Financial Markets→Financial Forecasting and Simulation
- 30 June 2022
- WORKING PAPER SERIES - No. 2673Details
- Abstract
- Using a novel quarterly dataset on debt financing of non-financial corporations, this paper provides the first empirical evaluation of the relative importance of loan and market-based finance (MBF) supply shocks on business cycles in the euro area as a whole and in its five largest countries. In a Bayesian VAR framework, the two credit supply shocks are identified via sign and inequality restrictions. The results suggest that both loan supply and MBF supply play an important role for business cycles. For the euro area, the explanatory power of the two credit supply shocks for GDP growth variations is comparable. However, there is heterogeneity across countries. In particular, in Germany and France, the explanatory power of MBF supply shocks exceeds that of loan supply shocks. Since MBF is mostly provided by non-bank financial intermediaries, the findings suggest that strengthening their resilience — such as through an enhanced macroprudential framework — would support GDP growth.
- JEL Code
- C32 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models, Diffusion Processes
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
E44 : Macroeconomics and Monetary Economics→Money and Interest Rates→Financial Markets and the Macroeconomy
E51 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Money Supply, Credit, Money Multipliers
G2 : Financial Economics→Financial Institutions and Services
- 17 November 2021
- FINANCIAL STABILITY REVIEW - BOXFinancial Stability Review Issue 2, 2021Details
- Abstract
- This box establishes stylised facts about the significant increase in initial margin (IM) in the euro area derivatives market during the March 2020 market turmoil. First, it shows that the increase was concentrated almost entirely in centrally cleared derivatives and driven mainly by equity, credit and interest rate portfolios. Second, by comparing static portfolios with those where portfolio repositioning took place, the IM increase is decomposed into (i) changes attributable to the CCP model sensitivity to market volatility, and (ii) changes attributable to portfolio repositioning by investors. For centrally cleared interest rate and credit derivatives (where this method is applicable), CCP model sensitivity to market volatility is found to be a key driver of the IM increase. Overall, the results suggest that it is important to develop a clearer understanding of “excessive procyclicality” for IM and possibly, on the basis of this common understanding, to review the models which CCPs use to calibrate IMs. The supervisory and regulatory framework governing the liquidity management of market participants, and in particular that of some non-bank financial intermediaries, should also be strengthened.
- JEL Code
- C60 : Mathematical and Quantitative Methods→Mathematical Methods, Programming Models, Mathematical and Simulation Modeling→General
G10 : Financial Economics→General Financial Markets→General
G13 : Financial Economics→General Financial Markets→Contingent Pricing, Futures Pricing
- 17 November 2021
- FINANCIAL STABILITY REVIEW - BOXFinancial Stability Review Issue 2, 2021Details
- Abstract
- Using a Bayesian vector autoregression model and drawing from a novel quarterly dataset on debt financing of non-financial corporations, this box estimates the effects of loan and market-based credit supply shocks on GDP growth in the euro area and the five largest euro area countries. A novel identification scheme with inequality restrictions is developed to distinguish between the two types of credit supply shock. The results suggest that not only loan supply but also market-based credit supply shocks play an important role for GDP growth. For the euro area as a whole, the explanatory power of both types of credit supply shock is found to be similar, while in Germany and France the explanatory power of market-based credit supply shocks exceeds that of loan supply shocks. Since market-based credit is mostly provided by non-bank financial intermediaries, the findings also suggest that strengthening the resilience of these intermediaries – such as through an enhanced macroprudential framework – would support GDP growth.
- JEL Code
- C32 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models, Diffusion Processes
E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
E44 : Macroeconomics and Monetary Economics→Money and Interest Rates→Financial Markets and the Macroeconomy
E51 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Money Supply, Credit, Money Multipliers
G2 : Financial Economics→Financial Institutions and Services
- 5 August 2021
- ECONOMIC BULLETIN - BOXEconomic Bulletin Issue 5, 2021Details
- Abstract
- This box studies the potential consequences of the ongoing shift away from defined benefit (DB) towards defined contribution (DC) products in the insurance and pension fund (ICPF) sector. In view of the different risks associated with these products, their portfolio allocations differ, with DB products being more heavily invested in long-duration fixed-income assets. Given the sizeable amount of ICPFs’ assets under management, the move from DB to DC products can reduce the demand for these assets, potentially having profound effects on the financial system and the economy. Such effects may include a steeper yield curve, a boost to equity financing, and more uncertainty in the build-up of retirement savings.
- JEL Code
- G22 : Financial Economics→Financial Institutions and Services→Insurance, Insurance Companies, Actuarial Studies
G23 : Financial Economics→Financial Institutions and Services→Non-bank Financial Institutions, Financial Instruments, Institutional Investors
H55 : Public Economics→National Government Expenditures and Related Policies→Social Security and Public Pensions
E34 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles
E44 : Macroeconomics and Monetary Economics→Money and Interest Rates→Financial Markets and the Macroeconomy
- 19 May 2021
- FINANCIAL STABILITY REVIEW - BOXFinancial Stability Review Issue 1, 2021Details
- Abstract
- During the March 2020 market turmoil, investment funds shed assets on a large scale. But was this selling commensurate with the outflows they faced or was it much larger? This box finds evidence for the latter, highlighting that the less regulated non-UCITS funds tended to engage in more procyclical selling and cash hording than UCITS funds. While it can be rational for fund managers individually to sell assets in excess of current outflows when uncertainty about future redemptions is high, such cash hoarding can be detrimental to the stability of financial markets from a macroprudential perspective. The findings discussed in this box suggest that macroprudential regulation of the fund sector could help to mitigate procyclical behaviour.
- JEL Code
- G11 : Financial Economics→General Financial Markets→Portfolio Choice, Investment Decisions
G15 : Financial Economics→General Financial Markets→International Financial Markets
G23 : Financial Economics→Financial Institutions and Services→Non-bank Financial Institutions, Financial Instruments, Institutional Investors
- 25 November 2020
- FINANCIAL STABILITY REVIEW - BOXFinancial Stability Review Issue 2, 2020Details
- Abstract
- In the most turbulent week during the coronavirus-related market turmoil in March 2020, euro-denominated money market funds experienced very high outflows. But which investors withdrew from these funds and why did they do so? This box suggests that the increase in variation margin on derivatives contracts held by euro area insurance corporations and pension funds was one of the key drivers behind these outflows.
- JEL Code
- G01 : Financial Economics→General→Financial Crises
G22 : Financial Economics→Financial Institutions and Services→Insurance, Insurance Companies, Actuarial Studies
G23 : Financial Economics→Financial Institutions and Services→Non-bank Financial Institutions, Financial Instruments, Institutional Investors
G15 : Financial Economics→General Financial Markets→International Financial Markets
- 26 May 2020
- FINANCIAL STABILITY REVIEW - ARTICLEFinancial Stability Review Issue 1, 2020Details
- Abstract
- Stricter margining requirements for derivative positions have increased the demand for collateral by market participants in recent years. At the same time, euro area investment funds which use derivatives extensively have been reducing their liquid asset holdings. Using transaction-by-transaction derivatives data, this special feature assesses whether the current levels of funds’ holdings of cash and other highly liquid assets would be adequate to meet funds’ liquidity needs to cover variation margin calls on derivatives during stressed market periods, once the derivative portfolios become fully collateralised. The evidence so far indicates that euro area funds were able to meet the fivefold increase in variation margin during the height of the coronavirus-related market stress. But some of them were likely to have done so by engaging in repo transactions, selling assets and drawing on credit lines, thus amplifying the recent market dynamics.
- 23 September 2019
- ECONOMIC BULLETIN - ARTICLEEconomic Bulletin Issue 6, 2019Details
- Abstract
- Data on derivatives transactions have recently become available at a number of central banks, including the ECB, and have opened up new avenues for analysis. Collected as a result of reforms of the over-the-counter (OTC) derivatives market, which were primarily designed to counter systemic risk, the data have numerous applications beyond the domain of financial stability. This article presents two such applications. It demonstrates how data gathered under the European Market Infrastructure Regulation (EMIR) can be used to better understand two types of derivatives market that are of particular importance for central bank analysis, namely the interest rate derivatives and inflation-linked swap markets. For the interest rate derivatives market, the article shows how investor expectations for interest rates may be inferred through “positioning indicators” that track how a set of “informed investors” take positions in the market in anticipation of future interest rate movements. Such quantity-based indicators can complement other, more established indicators of interest rate expectations, such as forward rates or survey-based measures. For euro area inflation-linked swap markets, the article exploits the fact that EMIR data allow a first systematic look at trading activity in these markets, which can provide valuable and timely information on investors’ inflation expectations. It highlights a number of structural features of activity in these markets and discusses their possible implications for the monitoring of market-based measures of inflation compensation.
- JEL Code
- G10 : Financial Economics→General Financial Markets→General
G11 : Financial Economics→General Financial Markets→Portfolio Choice, Investment Decisions
G12 : Financial Economics→General Financial Markets→Asset Pricing, Trading Volume, Bond Interest Rates
- 29 July 2019
- WORKING PAPER SERIES - No. 2299Details
- Abstract
- Traditionally, insurers are seen as stabilisers of financial markets that act countercyclically by buying assets whose price falls. Recent studies challenge this view by providing empirical evidence of procyclicality. This paper sheds new light on the underlying reasons for these opposing views. Our model predicts procyclicality when prices fall due to increasing risk premia, and countercyclicality in response to rises in the risk-free rate. Using granular data on insurers’ government bond holdings, we validate these predictions empirically. Our findings contribute to the current policy discussion on macroprudential measures beyond banking.
- JEL Code
- G01 : Financial Economics→General→Financial Crises
G11 : Financial Economics→General Financial Markets→Portfolio Choice, Investment Decisions
G12 : Financial Economics→General Financial Markets→Asset Pricing, Trading Volume, Bond Interest Rates
G22 : Financial Economics→Financial Institutions and Services→Insurance, Insurance Companies, Actuarial Studies
G23 : Financial Economics→Financial Institutions and Services→Non-bank Financial Institutions, Financial Instruments, Institutional Investors
- 29 May 2019
- FINANCIAL STABILITY REVIEW - BOXFinancial Stability Review Issue 1, 2019Details
- Abstract
- In the current low interest rate environment, euro area insurers have been venturing into alternative asset classes such as alternative, infrastructure and private equity funds, loans and real estate holdings. This move helps insurers diversify their portfolios. It may also boost their investment returns and limit the duration mismatch in their balance sheets. More broadly, it contributes to the diversification of the financing sources of the real economy (see Chart 4.1). But the portfolio shift towards alternative investments also raises financial stability concerns, which is the focus of this box. In particular, the shift may increase insurers’ credit and liquidity risks and contribute to wider financial sector exuberance in some parts of the real economy as well as amplify market shocks in the event of (abrupt) price corrections.
- 29 November 2018
- FINANCIAL STABILITY REVIEW - BOXFinancial Stability Review Issue 2, 2018Details
- Abstract
- Insurance companies’ derivative exposures are recognised to be a potential source of risk. For instance, in the midst of the global financial crisis, the global insurance conglomerate, American International Group (AIG), was rescued because of the significant losses on the credit default swap (CDS) portfolio held by its Financial Products subsidiary. Yet, there is limited evidence on the derivative exposures of European insurers. This box helps fill this gap by providing information on euro area insurers’ derivative exposures, and the counterparties with which transactions take place. The analysis is based on transaction-by-transaction data collected under the European Market Infrastructure Regulation (EMIR).
- 23 May 2018
- STATISTICS PAPER SERIES - No. 28Details
- Abstract
- This paper presents a detailed set of new, quantity-based indicators of financial integration in the euro area. The indicators are based on granular data from securities holdings statistics and help us disentangle the main drivers of the portfolio changes observed since the financial crisis. Three key developments since the crisis stand out. First, we find that financial integration in equity is less than that in the debt market, although the equity market was the main contributor to the partial recovery in financial integration observed since mid-2012. Second, we observe a gradual shift in cross-border investment activity from the banking sector towards other non-bank financial entities. In particular, our results show that euro area banks significantly decreased their investment in debt securities issued by banks in other euro area countries and that this decrease explains around 55% of the decline in financial integration in the debt market observed since the crisis. Finally, we find that the sharp decrease in financial integration between 2009 and 2012 was mainly driven by foreign investor flight from government debt securities, a trend that has since reversed.
- JEL Code
- F36 : International Economics→International Finance→Financial Aspects of Economic Integration
G1 : Financial Economics→General Financial Markets
G10 : Financial Economics→General Financial Markets→General
G15 : Financial Economics→General Financial Markets→International Financial Markets
- 25 November 2015
- FINANCIAL STABILITY REVIEW - ARTICLEFinancial Stability Review Issue 2, 2015Details
- Abstract
- This special feature proposes a methodology to measure systemic risk as the percentage of banks defaulting simultaneously over a given time horizon for a given confidence level. The framework presented here is applied to euro area banks. It is observed that since the announcement of the comprehensive assessment in October 2013 banks have significantly reshuffled their security portfolios. This has resulted in a decline in the probability of systemic events occurring.
- JEL Code
- G00 : Financial Economics→General→General
- 2024
- IMF Working Paper
- 2023
- IMF Working Paper
- 2021
- The Economic Journal
- 2021
- EIOPA Financial Stability Report - Thematic Articles
- 2019
- EIOPA Financial Stability Report - Thematic Articles
- 2016
- ESRB Occasional Paper
- 2016
- VoxEU
- 2013
- American Economic Journal: Economic Policy
- 2012
- Review of International Economics
- 2011
- VoxEU
- 2010
- VoxEU