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Tina Emambakhsh

Macro Prud Policy&Financial Stability

Division

Stress Test Modelling

Current Position

Financial Stability Analyst

Fields of interest

Financial Economics,Macroeconomics and Monetary Economics,Mathematical and Quantitative Methods

Email

tina.emambakhsh@ecb.europa.eu

Education
2019-2020

MSc in Economics, Stockholm School of Economics, Sweden

2018-2019

MA in International Economic Policy, Paris Institute of Political Studies (SciencesPo), France

2013-2017

Bsc in Economics and Social Sciences, Vienna University of Economics and Business, Austria

Awards
2021

Bertil-Ohlin Award for Best Thesis in Economics, Stockholm School of Economics

11 October 2023
WORKING PAPER SERIES - No. 2856
Details
Abstract
The systemic risk measure (SRISK) by V-Lab provides a market view of the vulnerability of financial institutions to a sudden downturn in the economy. To overcome the shortcoming that it cannot be applied to non-listed banks, SRISK characteristics of listed banks are mapped on balance sheet information. Systemic risk tends to be higher for banks that are larger, less profitable and have lower equity funding. Balance sheet information provides a surprisingly good approximation of SRISK for non-listed banks, when compared with banks’ capital depletion from the EU-wide stress testing exercises in 2018 and 2021. The proposed methodology can usefully complement the more thorough overview provided by traditional stress tests, providing supervisors the option to evaluate the systemic risks of the banking system at a higher frequency and at a fraction of the costs.
JEL Code
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
G28 : Financial Economics→Financial Institutions and Services→Government Policy and Regulation
G1 : Financial Economics→General Financial Markets
6 September 2023
OCCASIONAL PAPER SERIES - No. 328
Details
Abstract
Transition to a carbon-neutral economy is necessary to limit the negative impact of climate change and has become one of the world’s most urgent priorities. This paper assesses the impact of three potential transition pathways, differing in the timing and level of ambition of emissions’ reduction, and quantifies the associated investment needs, economic costs and financial risks for corporates, households and financial institutions in the euro area. Building on the first ECB top-down, economy-wide climate stress test, this paper contributes to the field of climate stress testing by introducing three key innovations. First, the design of three short-term transition scenarios that combine the transition paths developed by the Network for Greening the Financial System (NGFS) with macroeconomic projections that allow for the latest energy-related developments. Second, the introduction of granular sectoral dynamics and energy-specific considerations by country relevant to transition risk. Finally, this paper provides a comprehensive analysis of the impact of transition risk on the euro area private sector and on the financial system, using a granular dataset that combines climate, energy-related and financial information for millions of firms with the euro area credit register and securities database and country-level data on households. By comparing different transition scenarios, the results of the exercise show that acting immediately and decisively would provide significant benefits for the euro area economy and financial system, not only by maintaining the optimal net-zero emissions path (and therefore limiting the physical impact of climate change), but also by limiting financial risk. An accelerated transition to a carbon-neutral economy would be helpful to contain risks for financial institutions and would not generate financial stability concerns for the euro area, provided that firms and households could finance their green investments in an orderly manner. However, the heterogeneous results across economic sectors and banks suggest that more careful monitoring of certain entity subsets and of credit exposures will be required during the transition process.
JEL Code
C53 : Mathematical and Quantitative Methods→Econometric Modeling→Forecasting and Prediction Methods, Simulation Methods
C55 : Mathematical and Quantitative Methods→Econometric Modeling→Modeling with Large Data Sets?
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
Q47 : Agricultural and Natural Resource Economics, Environmental and Ecological Economics→Energy→Energy Forecasting
Q54 : Agricultural and Natural Resource Economics, Environmental and Ecological Economics→Environmental Economics→Climate, Natural Disasters, Global Warming
31 May 2023
FINANCIAL STABILITY REVIEW - ARTICLE
Financial Stability Review Issue 1, 2023
Details
Abstract
Climate change can have a negative effect on sovereign balance sheets directly (when contingent liabilities materialise) and indirectly (when it has an impact on the real economy and the financial system). This special feature highlights the contingent sovereign risks that stem from an untimely or disorderly transition to a net-zero economy and from more frequent and severe natural catastrophes. It also looks at the positive role that governments can play in reducing climate-related financial risks and incentivising adaptation. If the recent trend of ever-lower emissions across the EU is to be sustained, further public sector investment is essential. In this context, the progress made to strengthen green capital markets has fostered government issuance of green and sustainable bonds to finance the transition. While putting significant resources into adaptation projects can increase countries’ resilience to climate change, the economic costs of extreme climate-related events are still set to rise materially in the EU. Only a quarter of disaster losses are currently insured and fiscal support has mitigated related macroeconomic and financial stability risks in the past. Looking ahead, vulnerabilities arising from contingent liabilities may increase in countries with high physical risk and a large insurance protection gap. If these risks rise alongside sovereign debt sustainability concerns, the impact on financial stability could be amplified by feedback loops that see sovereign credit conditions and ratings deteriorate.
JEL Code
G10 : Financial Economics→General Financial Markets→General
G18 : Financial Economics→General Financial Markets→Government Policy and Regulation
G20 : Financial Economics→Financial Institutions and Services→General
G32 : Financial Economics→Corporate Finance and Governance→Financing Policy, Financial Risk and Risk Management, Capital and Ownership Structure, Value of Firms, Goodwill
Q51 : Agricultural and Natural Resource Economics, Environmental and Ecological Economics→Environmental Economics→Valuation of Environmental Effects
Q54 : Agricultural and Natural Resource Economics, Environmental and Ecological Economics→Environmental Economics→Climate, Natural Disasters, Global Warming
Q58 : Agricultural and Natural Resource Economics, Environmental and Ecological Economics→Environmental Economics→Government Policy
16 November 2022
FINANCIAL STABILITY REVIEW - BOX
Financial Stability Review Issue 2, 2022
Details
Abstract
This box investigates the measurement of banks’ exposures to concentration risk related to climate change. It does so by introducing a new metric to quantify carbon-related concentration risk in banks’ corporate loan portfolios. Using data on individual borrowers’ emissions, the formula of the Herfindahl-Hirschman Index (HHI) is extended to create a carbon-weighted HHI (cwHHI). The cwHHI reveals substantial heterogeneity in the degree of carbon-related concentration among portfolios similarly exposed to high-emitting firms. Furthermore, banks with exposures to high-emitting firms similar to their peers but with higher cwHHI experience higher expected losses in a disorderly transition scenario. The empirical findings of this box suggest that institutions and exposures significantly affected by carbon-related concentration risk run a higher risk of incurring losses, extending even to those banks with a lower share of exposures to high emitters. The implication is that carbon-related concentration risk may be a material risk driver.
JEL Code
G11 : Financial Economics→General Financial Markets→Portfolio Choice, Investment Decisions
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
Q54 : Agricultural and Natural Resource Economics, Environmental and Ecological Economics→Environmental Economics→Climate, Natural Disasters, Global Warming
23 May 2022
FINANCIAL STABILITY REVIEW - ARTICLE
Financial Stability Review Issue 1, 2022
Details
Abstract
The ECB is continuing its work on incorporating climate-related risks into assessments of financial stability. This includes a new analysis of disclosure, pricing and greenwashing risks in financial markets, as well as continued monitoring of financial institutions’ exposure to transition and physical risks. There is some encouraging evidence of better disclosure by non-financial corporations and increasing awareness of climate-related risks in financial markets. Progress made by banks, however, has been more limited. Established and newer metrics show no clear evidence of a reduction in climate-related risks, revealing instead a potential for amplification mechanisms stemming from exposure concentration, cross-hazard correlation and financial institutions’ overlapping portfolios. These findings can inform evidence-based international and European policy debates around climate-related corporate disclosure, standards for sustainable financial instruments and climate-related prudential policies. More generally, amid high uncertainty around governments’ transition policies in an environment of volatile energy prices, further investments in the transition to a net-zero economy would also have a positive impact on medium-term growth and energy security.
JEL Code
G10 : Financial Economics→General Financial Markets→General
G18 : Financial Economics→General Financial Markets→Government Policy and Regulation
G20 : Financial Economics→Financial Institutions and Services→General
G32 : Financial Economics→Corporate Finance and Governance→Financing Policy, Financial Risk and Risk Management, Capital and Ownership Structure, Value of Firms, Goodwill
Q51 : Agricultural and Natural Resource Economics, Environmental and Ecological Economics→Environmental Economics→Valuation of Environmental Effects
Q54 : Agricultural and Natural Resource Economics, Environmental and Ecological Economics→Environmental Economics→Climate, Natural Disasters, Global Warming
22 September 2021
OCCASIONAL PAPER SERIES - No. 281
Details
Abstract
Climate change is one of the greatest challenges facing humankind this century. If left unchecked, it is likely to result in more frequent and severe climatic events, with the potential to cause substantial disruption to our economies, businesses and livelihoods in the coming decades. Yet the associated risks remain poorly understood, as climate shocks differ from the financial shocks observed during previous crises. This paper describes the ECB’s economy-wide climate stress test, which has been developed to assess the resilience of non-financial corporates (NFCs) and euro area banks to climate risks, under various assumptions in terms of future climate policies. This stress test comprises three main pillars: (i) climate-specific scenarios to project climate and macroeconomic conditions over the next 30 years; (ii) a comprehensive dataset that combines climate and financial information for millions of companies worldwide and approximately 1,600 consolidated euro area banks; (iii) a novel set of climate-specific models to capture the direct and indirect transmission channels of climate risk drivers for firms and banks.
JEL Code
C53 : Mathematical and Quantitative Methods→Econometric Modeling→Forecasting and Prediction Methods, Simulation Methods
C55 : Mathematical and Quantitative Methods→Econometric Modeling→Modeling with Large Data Sets?
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
Q54 : Agricultural and Natural Resource Economics, Environmental and Ecological Economics→Environmental Economics→Climate, Natural Disasters, Global Warming