Journal of Financial Economics

Mutual funds and safe government bonds: do returns matter?

Retrieved on: 
Donnerstag, April 25, 2024
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Key Points: 

    Decomposing systemic risk: the roles of contagion and common exposures

    Retrieved on: 
    Dienstag, April 23, 2024
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    Abstract

    Key Points: 
      • Abstract
        We evaluate the effects of contagion and common exposure on banks? capital through
        a regression design inspired by the structural VAR literature and derived from the balance
        sheet identity.
      • Contagion can occur through direct exposures, fire sales, and market-based
        sentiment, while common exposures result from portfolio overlaps.
      • First, we document that contagion varies in time, with the highest levels
        around the Great Financial Crisis and lowest levels during the pandemic.
      • Our new framework complements
        traditional stress-tests focused on single institutions by providing a holistic view of systemic risk.
      • While existing literature presents various contagion narratives, empirical findings on
        distress propagation - a precursor to defaults - remain scarce.
      • We decompose systemic risk into three elements: contagion, common exposures, and idiosyncratic risk, all derived from banks? balance sheet identities.
      • The contagion factor encompasses both sentiment- and contractual-based elements, common exposures consider systemic
        aspects, while idiosyncratic risk encapsulates unique bank-specific risk sources.
      • Our empirical analysis of the Canadian banking system reveals the dynamic nature of contagion, with elevated levels observed during the Global Financial Crisis.
      • In conclusion, our model offers a comprehensive lens for policy intervention analysis and
        scenario evaluations on contagion and systemic risk in banking.
      • This
        notion of systemic risk implies two key components: first, systematic risks (e.g., risks related
        to common exposures) and second, contagion (i.e., an initially idiosyncratic problem becoming
        more widespread throughout the financial system) (see Caruana, 2010).
      • In this paper, we decompose systemic risk into three components: contagion, common exposures, and idiosyncratic risk.
      • First, we include contagion in three forms: sentiment-based contagion, contractual-based
        contagion, and price-mediated contagion.
      • In this context,
        portfolio overlaps create common exposures, implying that bigger overlaps make systematic
        shocks more systemic.
      • With the COVID-19 pandemic starting
        in 2020, contagion drops to all time lows, potentially related to strong fiscal and monetary
        supports.
      • That is, our
        structural model provides a framework for analyzing the impact of policy interventions and
        scenarios on different levels of contagion and systemic risk in the banking system.
      • This provides a complementary approach to
        seminal papers that took a structural approach to contagion, such as DebtRank Battiston et al.
      • More generally, the literature on networks and systemic risk started with Allen and Gale
        (2001) and Eisenberg and Noe (2001).
      • The matrix is structured as follows:
        1

        In our model, we do not distinguish between interbank liabilities and other types of liabilities.

      • In other words, we can and aim to estimate different degrees
        of contagion per asset class, i.e., potentially distinct parameters ?Ga .
      • For that, we build three major
        metrics to check: average contagion, average common exposure, and average idiosyncratic risk.
      • N i j

        et ,
        Further, we define the (N ?K) common exposure matrix as Commt = [A

        (20)

        et ]diag (?C
        ?L

        such that average common exposure reads,
        average common exposure =

        1 XX
        Commik,t .

      • N i j

        (22)

        20

        ? c ),

        The three metrics?average contagion, average common exposure, and average idiosyncratic risk?provide a comprehensive framework for understanding banking dynamics.

      • Figure 4 depicts the average level of risks per systemic risk channel: contagion risk, common exposure, and idiosyncratic risk.
      • Figure 4: Average levels of contagion (Equation (20)), common exposure (Equation (21)), and idiosyncratic risk
        (Equation (22)).
      • The market-based contagion is the contagion due to
        investors? sentiment, and the network is an estimate FEVD on volatility data.
      • For most of
        the sample, we find that contagion had a bigger impact on the variance than common exposures.

    Central bank asset purchases and auction cycles revisited: new evidence from the euro area

    Retrieved on: 
    Freitag, April 19, 2024

    Working Paper Series

    Key Points: 
      • Working Paper Series
        Federico Maria Ferrara

        Central bank asset purchases
        and auction cycles revisited:
        new evidence from the euro area

        No 2927

        Disclaimer: This paper should not be reported as representing the views of the European Central Bank
        (ECB).

      • Abstract
        This study provides new evidence on the relationship between unconventional monetary
        policy and auction cycles in the euro area.
      • The findings indicate that Eurosystem?s asset purchase flows mitigate
        yield cycles during auction periods and counteract the amplification impact of market volatility.
      • The dampening effect of central bank asset purchases on auction cycles is more sizeable and
        precisely estimated for purchases of securities with medium-term maturities and in jurisdictions
        with relatively lower credit ratings.
      • On the other hand, central banks may influence price dynamics in these markets, most notably
        through their asset purchase programmes.
      • If so, do central bank asset purchases
        affect bond yield movements around auction dates?
      • Auction cycles are present when secondary market yields rise in
        anticipation of a debt auction and fall thereafter, generating an inverted V-shaped pattern around auction
        dates.
      • ECB Working Paper Series No 2927

        3

        1

        Introduction

        The impact of central bank asset purchases on government bond markets is a focal point of economic and
        financial research.

      • If so,
        do central bank asset purchases shape yield sensitivity around auction dates?
      • The paper provides new evidence on the effects of Eurosystem?s asset purchases on secondary market
        yields around public debt auction dates.
      • The analysis builds on previous research based on aggregate data
        on central bank asset purchases and a shorter analysis period (van Spronsen and Beetsma 2022).
      • Using
        granular data on Eurosystem?s asset purchases offers an opportunity to shed light on the mechanisms linking
        unconventional monetary policy and auction cycles.
      • Given this legal constraint, the study
        hypothesises that the effect of asset purchases on 10-year auction cycles is mostly indirect, and goes via price
        spillovers generated by purchases of securities outside the 10-year maturity space.
      • Taken together, these results provide new evidence about auction cycles in Europe and contribute to a
        larger literature on the flow effects of central bank asset purchases on bond markets.
      • Section 4 offers descriptive evidence about auction cycles in the euro area.
      • Auction cycles are defined by the presence of an inverted V-shaped pattern in secondary market yields
        around primary auctions.
      • That is, government bond yields rise in the run-up to the date of the auction and
        fall back to their original level after the auction.
      • Their limited risk-bearing capacities and inventory management operations are
        seen as key mechanisms driving auction cycles (Beetsma et al.
      • ECB Working Paper Series No 2927

        7

        Second, central bank asset purchases can alleviate the cycle by (partly) absorbing the additional supply
        of substitutable instruments in the secondary market (van Spronsen and Beetsma 2022).

      • This expectation is
        supported by several analyses on the price effects of central bank bond purchases (D?Amico and King 2013;
        Arrata and Nguyen 2017; De Santis and Holm-Hadulla 2020).
      • Empirically, previous research has provided evidence of auction cycles taking place across different jurisdictions.
      • (2016) detect auction cycles for government debt in Italy, but not in Germany, during the European
        sovereign debt crisis.
      • Research on the impact of central bank asset purchases on yield cycles around auctions is still limited.
      • Their paper provides evidence
        that Eurosystem?s asset purchases reduce the presence of auction cycles for euro area government debt.
      • Nonetheless, several questions remain open about auction cycles and unconventional monetary policy
        in the euro area.
      • Therefore, they
        provide only a partial picture of auction cycles and central bank asset purchases in Europe.
      • The use of granular data on central bank asset purchases is especially important in light of the modalities
        of monetary policy implementation of the Eurosystem.
      • Altogether, these elements motivate further investigation of the relationship between central bank asset
        purchases and auction cycles in the euro area.
      • Taken together, these results confirm that Eurosystem?s asset purchases mitigate yield cycles during auction periods and counteract the amplification impact of market volatility.
      • The findings confirm that the flow
        effects of central bank purchases on yield movements around auction dates are driven by lower-rated countries.
      • Additional analyses provide evidence for an indirect effect of purchases on auction cycles and highlight
        the presence of substantial heterogeneity across jurisdictions and purchase programmes.
      • Flow Effects of Central Bank Asset Purchases on Sovereign Bond
        Prices: Evidence from a Natural Experiment.
      • Federico Maria Ferrara
        European Central Bank, Frankfurt am Main, Germany; email: [email protected]

        ? European Central Bank, 2024
        Postal address 60640 Frankfurt am Main, Germany
        Telephone
        +49 69 1344 0
        Website
        www.ecb.europa.eu
        All rights reserved.

    Monetary asmmetries without (and with) price stickiness

    Retrieved on: 
    Freitag, April 19, 2024
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    Key Points: 

      Is home bias biased? New evidence from the investment fund sector

      Retrieved on: 
      Donnerstag, April 18, 2024
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      Key Points: 

        Isabel Schnabel: R(ising) star?

        Retrieved on: 
        Mittwoch, April 3, 2024

        This box investigates how households have responded to the 2021-23 inflationary episode using evidence from the ECB’s Consumer Expectations Survey.

        Key Points: 
        • This box investigates how households have responded to the 2021-23 inflationary episode using evidence from the ECB’s Consumer Expectations Survey.
        • The findings suggest that households have primarily adjusted their consumption spending to cope with higher inflation.

        US monetary policy is more powerful in low economic growth regimes

        Retrieved on: 
        Dienstag, April 2, 2024
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        Key Points: 

          The impact of regulatory changes on rating behaviour

          Retrieved on: 
          Dienstag, April 2, 2024
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          Abstract

          Key Points: 
            • Abstract
              We examine rating behaviour after the introduction of new regulations regarding Credit Rating
              Agencies (CRAs) in the European securitisation market.
            • There is empirical evidence of rating catering in the securitisation market in the pre-GFC period (He et al.,
              2012; Efing and Hau, 2015).
            • Competition among
              CRAs could diminish ratings quality (Golan, Parlour, and Rajan, 2011) and promotes rating shopping by
              issuers resulting in rating inflation (Bolton et al., 2012).
            • This paper investigates the impact of the post-GFC regulatory changes in the European
              securitisation market.
            • In 2011, in addition to the creation of
              European Securities and Markets Authority (ESMA), a regulatory and supervisory body for CRAs was
              introduced.
            • We examine how rating behaviours have changed in the European securitisation market after the
              introduction of these new regulations.
            • We utilise the existence of multiple ratings and rating agreements between
              CRAs to identify the existence of rating shopping and rating catering, respectively (Griffin et al., 2013; He
              et al., 2012; 2016).
            • We find that the regulatory changes have been effective in tackling conflicts of interest between issuers
              and CRAs in the structured finance market.
            • Rating catering, which is a direct consequence of issuer and
              CRA collusion, seems to have disappeared after the introduction of these regulations.
            • There is empirical evidence of rating catering in the securitisation market in
              the pre-GFC period (He et al., 2012; Efing and Hau, 2015).
            • Competition among CRAs could diminish ratings quality (Golan, Parlour,
              and Rajan, 2011) and promotes rating shopping by issuers resulting in rating inflation (Bolton et
              al., 2012).
            • This paper investigates the impact of the post-GFC regulatory changes in the European
              securitisation market.
            • In 2011, in addition
              to the creation of European Securities and Markets Authority (ESMA), a regulatory and
              supervisory body for CRAs was introduced.
            • We find that the regulatory changes have been effective in tackling conflicts of interest
              between issuers and CRAs in the structured finance market.
            • Rating catering, which is a direct
              consequence of issuer and CRA collusion, seems to have disappeared after the introduction of
              these regulations.
            • Investors who previously demanded higher spreads for rating agreements for a
              multiple rated tranche, did not consider the effect of rating harmony as a risk in the post-GFC
              period.
            • Regarding rating shopping, we find that the effectiveness of the changes has been limited,
              potentially for two reasons.
            • Additionally, we also find that rating over-reliance might still be an issue, especially
              Rating catering is a broad term and it can involve rating shopping.
            • They re-examine the rating shopping and rating
              catering phenomena in the US market by looking at the post-crisis period between 2009 and 2013.
            • Using 622 CDO tranches, they also observe the existence of rating shopping and the diminishing
              of the rating catering.
            • Firstly, our main focus is the EU?s CRA Regulation and its effectiveness in reducing
              rating inflation and rating over-reliance.
            • To the best of our knowledge, this paper is the first to
              examine the effectiveness of the EU?s CRA regulatory changes on the investors? perception of
              rating inflation in the European ABS market.
            • Hence, the coverage and quality of our dataset constitutes significant addition
              to the literature and allows us to test the rating shopping and rating catering more authoritatively.
            • The following section reviews the literature
              on securitisation concerning CRAs and conflicts of interest, and outlines the regulatory changes
              introduced in the post-GFC period.
            • Firstly, ratings became ever more important as the Securities and
              Exchange Commission (SEC) 5 began heavily relying on CRA assessments for regulatory purposes
              (i.e.
            • the investment mandates that highlight rating agencies as the main benchmark for investment
              eligibility) (SEC, 2008; Kisgen and Strahan, 2010; Bolton et al., 2012).
            • issuers) as one of the main explanations for the rating inflation (He et al., 2011; 2012; Bolton
              et al., 2012; Efing and Hau, 2015).
            • Bolton et al., (2012) demonstrate that competition
              promotes rating shopping by issuers, leading to rating inflation.
            • The last phase, CRA III, was implemented in mid-2013 and involves an additional
              set of measures on reducing transparency and rating over-reliance.
            • As mentioned above, rating inflation can be caused by rating shopping
              In order to be eligible to use the STS classification, main parties (i.e.
            • The higher the difference in the number of ratings for a
              given ABS tranche, the greater the risk of rating shopping.
            • Alternatively, the impact of the new
              regulations could be limited when it comes to reducing rating shopping.
            • This is because, firstly,
              the conflict of interest between securitisation parties is not necessarily the sole cause for the
              occurrence of rating shopping.
            • L is a set of variables (Multiple ratings, CRA reported, Rating agreement) that
              we utilise interchangeably to capture the rating shopping and rating catering behaviour.
            • Hence, issuers are incentivised to report the highest possible rating and
              ensure each additional rating matches the desired level.
            • All in all, our results suggest that
              the new stricter regulatory measures have been effective in tackling conflicts of interest and
              reducing rating inflation caused by rating catering.
            • Self-selection might be a concern in analysing the impact of the
              new measures and investors? response with regard to the rating inflation.
            • This
              result is in line with the earlier findings suggesting that regulatory changes have reduced investors?
              suspicion of rating inflation and increased trust of CRAs.
            • Conclusion
              Several regulatory changes were introduced in Europe following the GFC aimed at tackling
              conflicts of interest between issuers and CRAs in the ABS market.
            • Utilising a sample of 12,469
              ABS issued between 1998 and 2018 in the European market, this paper examined whether these
              changes have had any impact on rating inflations caused by rating shopping and rating catering
              phenomena.
            • We find that the
              effectiveness of the changes has been more limited on rating shopping potentially for two reasons.
            • Tranche Credit Rating is the rating reported for a tranche at launch.

          Business as usual: bank climate commitments, lending, and engagement

          Retrieved on: 
          Dienstag, April 2, 2024
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          Key Points: 

            Measuring market-based core inflation expectations

            Retrieved on: 
            Donnerstag, Februar 15, 2024

            Abstract

            Key Points: 
              • Abstract
                We build a novel term structure model for pricing synthetic euro area core inflation-linked
                swaps, a hypothetical swap contract indexed to core inflation.
              • The model provides estimates of market-based expectations for core inflation, as
                well as core inflation risk premia, at daily frequency, whereas core inflation expectations from
                surveys or macroeconomic projections are typically only available monthly or quarterly.
              • We
                find that core inflation-linked swap rates are generally less volatile than headline inflationlinked swap rates and that market participants expected core inflation to be substantially
                more persistent than headline inflation following the 2022 energy price spike.
              • In this paper, we aim to infer market-based core inflation expectations, which are otherwise
                not directly observable because no financial asset directly tied to core inflation exists.
              • We deem this second assumption reasonable because HICP inflation itself is a linear combination
                of core as well as energy and food inflation.
              • The level of 2 percent and relatively low volatility of
                long-term inflation expectations suggests that inflation expectations are firmly anchored at the
                ECB?s 2 percent inflation target.
              • This assumption appears reasonably uncontroversial,
                as core inflation is a sub-component of headline inflation, which the observable headline ILS
                rates are tied to.
              • Our estimates of core ILS rates reflect both market participants? genuine core
                inflation expectations and a core inflation risk premium, but our model explicitly allows for
                this decomposition.
              • The model-implied estimates of core ILS rates appear reasonable along several dimensions:
                (i) like realized core inflation is less volatile than headline inflation, the core ILS rates are less
                volatile than headline ILS rates, (ii) core ILS rates comove less with oil prices than headline
                ILS rates, (iii) the core inflation expectations, as reflected in core ILS rates, typically evolve
                similarly as the core inflation projections by Eurosystem staff, and (iv) consistent with market
                commentary at the time, core ILS rates suggest that market participants expected core inflation
                to be substantially more persistent than headline inflation following the 2022 energy price spike.
              • To the best of our knowledge, we are the first to price core ILS rates and decompose them into
                market-based expectations for and risks around the core inflation outlook.
              • Our approach to inferring core ILS
                rates from headline ILS rates, realized headline and core inflation as well as survey expectations
                for headline and core inflation is also related to Ang et al.
              • Relative
                to their study, we separately measure core inflation expectations and risk premia, we provide
                core inflation expectations at a higher-frequency, and we provide evidence on the causal effects

                ECB Working Paper Series No 2908

                6

                of monetary policy shocks on core inflation expectations and risk premia.

              • Specifically, we decompose the synthetic core ILS rates
                into average expected core inflation over the lifetime of the swap contract and a core inflation
                risk premium that compensates investors for core inflation risk.
              • In
                our model below, this term is constant over time and relatively small, so we will simply refer
                to the core inflation risk premium as the difference between the core ILS rate and the average
                expected core inflation over the lifetime of the swap contract.
              • 3.2

                Core ILS rates

                To have a joint model for headline and core ILS rates, we need one further assumption on the
                dynamics of realized core inflation.

              • The assumption that core inflation is driven by the same set of factors as headline inflation
                should be relatively uncontroversial: since headline inflation is a weighted average of core and
                food and energy inflation, it should reflect any factors driving core inflation.
              • If there are factors
                driving food and energy inflation, which do not show up in core inflation, then those factors
                should still show up in headline inflation.
              • In step two, to be able to infer the factor
                loadings of core inflation, we would regress realized core inflation onto the estimated latent
                factors to identify the additional parameters in equation (12).
              • Before the fourth
                quarter of 2016, the SPF did not ask respondents for their core inflation expectations, so we
                are not able to use survey-based information about core inflation before then.
              • Before
                2016, the fitted core inflation series is somewhat above the realized one, potentially reflecting
                that the model has limited information about core inflation over this early period due to the
                lack of information about core inflation from surveys.
              • This could have been the
                case if one of the factors moved core inflation and energy and food inflation in exactly offsetting
                direction, so the overall impact on headline inflation was exactly zero.
              • During 2021, for example, there were

                ECB Working Paper Series No 2908

                25

                Figure 7: Decomposition of synthetic core ILS rates
                2y core ILS

                5y core ILS

                5
                4

                5
                ILS

                premia

                exp

                4

                ILS

                premia

                exp

                3

                3

                2

                2

                1

                1

                0

                0

                -1

                -1

                -2
                2017 2018 2019 2020 2021 2022 2023

                -2
                2017 2018 2019 2020 2021 2022 2023

                10y core ILS

                5y5y core ILS

                5
                4

                5
                ILS

                premia

                exp

                4

                ILS

                premia

                exp

                3

                3

                2

                2

                1

                1

                0

                0

                -1

                -1

                -2
                2017 2018 2019 2020 2021 2022 2023

                -2
                2017 2018 2019 2020 2021 2022 2023

                Note: Synthetic core ILS rates decomposed into genuine core inflation expectations and core inflation risk
                premia.

              • ECB Working Paper Series No 2908

                26

                Figure 8: Decomposition of ILS rates
                2y ILS

                5y ILS

                5
                4

                5
                ILS

                premia

                exp

                4

                3

                3

                2

                2

                1

                1

                0

                0

                -1

                -1

                -2
                2006

                2010

                2014

                2018

                2022

                -2
                2006

                ILS

                2010

                10y ILS

                2018

                2022

                5
                ILS

                premia

                exp

                4

                3

                3

                2

                2

                1

                1

                0

                0

                -1

                -1

                -2
                2006

                2014

                exp

                5y5y ILS

                5
                4

                premia

                2010

                2014

                2018

                2022

                -2
                2006

                ILS

                2010

                premia

                2014

                2018

                exp

                2022

                Note: ILS rates decomposed into genuine core inflation expectations and core inflation risk premia.

              • We find that the headline inflation risk premium
                indeed does responds more strongly than the core inflation risk premium.
              • The key
                assumption underlying our approach is that traded headline ILS rates span core inflation, which

                ECB Working Paper Series No 2908

                35

                should be reasonably uncontroversial as core inflation is a sub-component of headline inflation.

              • We fit the model to euro area headline ILS rates, realized headline and core inflation, and
                both headline and core inflation expectations reported in the SPF.
              • Decomposing our core ILS rates into genuine core inflation expectations and core
                inflation risk premia shows that shorter maturities mainly reflect core inflation expectations,
                while the core inflation risk premium matters relatively more for longer maturities.
              • Our results suggest that a monetary policy tightening surprise significantly lowers
                near-term core inflation expectations, although less so than it lowers headline inflation expectations.