Edoardo Rainone
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Edoardo Rainone has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Eleonora Patacchini
Cornell University
2 shared publications Francesco Vacirca
ECB, DG Market Infrastructure and Payments and Bank of Italy, Directorate General for Markets and Payment Systems, Frankfurt, Germany
1 shared publicationIlaria Supino
1 shared publication- Nicola Branzoli1 shared publication
- Tiziano Arduini
Department of Economics, University of Bologna, Piazza Scaravilli 2, 40126 Bologna, Italy
1 shared publication - Xiaodong Liu
Department of Economics, University of Colorado Boulder, Boulder, Colorado, USA
1 shared publication
Latest Publications
- 7 February 2024
- Published by Elsevier in Journal of Financial Stability
- Vol. 71
The role of banks’ technology adoption in credit markets during the pandemic
- 7 February 2024
- Published by Elsevier in Journal of Financial Stability
- Vol. 71
The role of banks’ technology adoption in credit markets during the pandemic
- 18 May 2023
- Published by Oxford University Press (OUP) in Journal of Financial Econometrics
- Vol. 22 (4) , 868-907
Real-Time Identification and High-Frequency Analysis of Deposits Outflows
We propose a method based on control charts to identify in real-time sudden deposits outflows through the payment system. The performance of the methodology is assessed with both Monte Carlo simulations and real transaction-level TARGET2 data for a large sample of Italian banks. We identify a set of idiosyncratic bank stress episodes. Using high-frequency payment system data, we provide new evidences on the interaction between retail, wholesale, and central bank funding in the post global financial crisis period.
- 18 May 2023
- Published by Oxford University Press (OUP) in Journal of Financial Econometrics
- Vol. 22 (4) , 868-907
Real-Time Identification and High-Frequency Analysis of Deposits Outflows
We propose a method based on control charts to identify in real-time sudden deposits outflows through the payment system. The performance of the methodology is assessed with both Monte Carlo simulations and real transaction-level TARGET2 data for a large sample of Italian banks. We identify a set of idiosyncratic bank stress episodes. Using high-frequency payment system data, we provide new evidences on the interaction between retail, wholesale, and central bank funding in the post global financial crisis period.
- 1 January 2020
- Published by Elsevier in Journal of Financial Markets
- Vol. 47, 100525
The network nature of over-the-counter interest rates
- 1 January 2020
- Published by Elsevier in Journal of Financial Markets
- Vol. 47, 100525
The network nature of over-the-counter interest rates
- 31 October 2019
- Published by Taylor & Francis in Quantitative Finance
- Vol. 20 (2) , 207-234
Estimating the money market microstructure with negative and zero interest rates
The Furfine [The microstructure of the federal funds market. Financ. Markets Inst. Instrum., 1999, 8(5), 24–44] algorithm is a key tool for researchers in monetary economics and central banking because it allows identification of the interbank money market microstructure. Furfine's method has been used in numerous studies of money markets but little work has examined how valid its application is at zero and negative interest rates. This work seeks to address this gap. We first extend the standard algorithm to include negative rates and show the bias introduced by the zero interest rate. Secondly, we propose a econometric procedure based on market regularities and the economic likelihood of interbank bilateral relationships to correct the bias. Thirdly, the methodology is applied to TARGET2 data. The impacts of recent monetary policy decisions on key interest rates are studied. We find significantly biased figures when the market microstructure is not correctly estimated.
- 31 October 2019
- Published by Taylor & Francis in Quantitative Finance
- Vol. 20 (2) , 207-234
Estimating the money market microstructure with negative and zero interest rates
The Furfine [The microstructure of the federal funds market. Financ. Markets Inst. Instrum., 1999, 8(5), 24–44] algorithm is a key tool for researchers in monetary economics and central banking because it allows identification of the interbank money market microstructure. Furfine's method has been used in numerous studies of money markets but little work has examined how valid its application is at zero and negative interest rates. This work seeks to address this gap. We first extend the standard algorithm to include negative rates and show the bias introduced by the zero interest rate. Secondly, we propose a econometric procedure based on market regularities and the economic likelihood of interbank bilateral relationships to correct the bias. Thirdly, the methodology is applied to TARGET2 data. The impacts of recent monetary policy decisions on key interest rates are studied. We find significantly biased figures when the market microstructure is not correctly estimated.
- 3 June 2019
- Published by Taylor & Francis in Journal of Business & Economic Statistics
- Vol. 38 (4) , 826-838
Treatment Effects With Heterogeneous Externalities
This paper proposes a new method for estimating heterogeneous externalities in policy analysis when social interactions take the linear-in-means form. We establish that the parameters of interest can be identified and consistently estimated using specific functions of the share of the eligible population. We also study the finite sample performance of the proposed estimators using Monte Carlo simulations. The method is illustrated using data on the PROGRESA program. We find that more than 50 percent of the effects of the program on schooling attendance are due to externalities, which are heterogeneous within and between poor and nonpoor households.
- 3 June 2019
- Published by Taylor & Francis in Journal of Business & Economic Statistics
- Vol. 38 (4) , 826-838
Treatment Effects With Heterogeneous Externalities
This paper proposes a new method for estimating heterogeneous externalities in policy analysis when social interactions take the linear-in-means form. We establish that the parameters of interest can be identified and consistently estimated using specific functions of the share of the eligible population. We also study the finite sample performance of the proposed estimators using Monte Carlo simulations. The method is illustrated using data on the PROGRESA program. We find that more than 50 percent of the effects of the program on schooling attendance are due to externalities, which are heterogeneous within and between poor and nonpoor households.
- 5 January 2017
- Published by Oxford University Press (OUP) in The Econometrics Journal
- Vol. 20 (3) , S103-S125
Peer effects in bedtime decisions among adolescents: a social network model with sampled data
Summary. Using unique information on a representative sample of US teenagers, we investigate peer effects in adolescent bedtime decisions. We extend the nonline
- 5 January 2017
- Published by Oxford University Press (OUP) in The Econometrics Journal
- Vol. 20 (3) , S103-S125
Peer effects in bedtime decisions among adolescents: a social network model with sampled data
Summary. Using unique information on a representative sample of US teenagers, we investigate peer effects in adolescent bedtime decisions. We extend the nonline