Mhux disponibbli bil-Malti
Olivier De Jonghe
- 19 May 2026
- WORKING PAPER SERIES - No. 3234Details
- Abstract
- We study how private equity (PE) buyouts propagate through supply chains using unique firm-to-firm transactions data from Belgium. In normal times, suppliers of PE-backed firms outperform their peers by 5%–10% in employment and sales growth, primarily due to increased input demand from PE-backed customers rather than knowledge spillovers or other mechanisms. In economic downturns, however, this outperformance is attenuated and suppliers compress markups by around 8% as PE investors intensify bargaining pressure and reconfigure supply chains to extract cost savings. Beyond the direct effects on suppliers, we show that as PE-backed firms absorb supplier capacity, they crowd out competitors that rely on the same suppliers. Overall, our findings underscore that supply chains are central to how PE investors create and redistribute value.
- JEL Code
- D22 : Microeconomics→Production and Organizations→Firm Behavior: Empirical Analysis
D24 : Microeconomics→Production and Organizations→Production, Cost, Capital, Capital, Total Factor, and Multifactor Productivity, Capacity
G32 : Financial Economics→Corporate Finance and Governance→Financing Policy, Financial Risk and Risk Management, Capital and Ownership Structure, Value of Firms, Goodwill
G34 : Financial Economics→Corporate Finance and Governance→Mergers, Acquisitions, Restructuring, Corporate Governance
- 10 November 2025
- WORKING PAPER SERIES - No. 3146Details
- Abstract
- We study heterogeneity in households’ credit across nine European countries (Belgium, Spain, Hungary, Ireland, Italy, Latvia, Lithuania, Portugal, and Slovakia) during 2022-2024 using granular credit register data. We first document substantial between- and within-country variation in mortgage and consumer lending by borrower age, loan maturity, and interest rate fixation. We then quantify the passthrough of the ECB’s recent tightening cycle to household borrowing costs, and assess its heterogeneous impact across households. Pass-through is nearly complete for mortgages (around 0.9) but considerably weaker for consumer credit (around 0.4). While mortgage pass-through is relatively homogeneous across countries, consumer credit shows pronounced cross-country differences that cannot be explained by borrower or loan characteristics. Younger households face stronger mortgage pass-through but weaker consumer credit pass-through relative to older borrowers, and longer maturities are associated with stronger pass-through in both credit markets.
- JEL Code
- E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
D14 : Microeconomics→Household Behavior and Family Economics→Household Saving; Personal Finance - Network
- Challenges for Monetary Policy Transmission in a Changing World Network (ChaMP)
- 13 August 2025
- WORKING PAPER SERIES - No. 3095Details
- Abstract
- This paper studies the role of collateral using the euro area corporate credit registry, Ana-Credit. We document key facts about the importance, distribution, and composition of collateral, including its presence, types, and values. On average, 70% of credit amounts are collateralized. Real estate and financial assets are the most pledged, while physical movable assets and other intangible assets are less present. In addition, we show that the aggregate collateral value pledged to the banking sector is substantial, driven mainly by real estate in most countries. For the first time, we examine the collateral channel in bank credit using the actual value of individual collateral. By exploiting within-firm and within-bank variations for newly issued secured loans, we find that the elasticity of collateral value to loan commitment amounts is around 0.7-0.8. This collateral value elasticity exhibits substantial country and time heterogeneity, which can be explained by legal, financial, and macro conditions.
- JEL Code
- E32 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Business Fluctuations, Cycles
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
G33 : Financial Economics→Corporate Finance and Governance→Bankruptcy, Liquidation - Network
- Challenges for Monetary Policy Transmission in a Changing World Network (ChaMP)
- 30 January 2019
- WORKING PAPER SERIES - No. 2230Details
- Abstract
- This paper provides evidence on the strategic lending decisions made by banks facing a negative funding shock. Using bank-firm level credit data, we show that banks reallocate credit within their loan portfolio in at least three different ways. First, banks reallocate to sectors where they have a high market share. Second, they also reallocate to sectors in which they are more specialized. Third, they reallocate credit towards low-risk firms. These reallocation effects are economically large. A standard deviation increase in sector market share, sector specialization or firm soundness reduces the transmission of the funding shock to credit supply by 22, 8 and 10%, respectively.
- JEL Code
- G01 : Financial Economics→General→Financial Crises
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages - Network
- Research Task Force (RTF)