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Biodiversity loss poses a significant threat to the global economy and affects ecosystem services on which most large companies rely heavily. The severe financial implications of such a reduced species diversity have attracted the attention of companies and stakeholders, with numerous calls to increase corporate transparency. Using textual analysis, this study thus investigates the current state of voluntary biodiversity reporting of 359 European blue-chip companies and assesses the extent to which it aligns with the upcoming disclosure framework of the Task Force on Nature-related Financial Disclosures (TNFD). The descriptive results suggest a substantial gap between current reporting practices and the proposed TNFD framework, with disclosures largely lacking quantification, details and clear targets. In addition, the disclosures appear to be relatively unstandardized. Companies in sectors or regions exposed to higher nature-related risks as well as larger companies are more likely to report on aspects of biodiversity. This study contributes to the emerging literature on nature-related risks and provides detailed insights on the extent of the reporting gap in light of the upcoming standards.
Unconventional green
(2023)
We analyze the effects of the PEPP (Pandemic Emergency Purchase Programme), the temporary quantitative easing implemented by the ECB immediately after the burst of the Covid-19 pandemic. We show that the differences in aim, size and flexibility with respect to the traditional Corporate Sector Purchase Programme (CSPP) were able to significantly involve, in addition to the directly targeted bonds, also the green bond segment. Via a standard difference- in-differences model we estimate that the yield on green bonds declined by more than 20 basis points after the PEPP. In order to take into account also the differences attributable to the eligibility to the programme, we employ a triple difference estimator. Bonds that at the same time were green and eligible benefitted of an additional premium of 39 basis points.
Over the last three decades, countries across the Andean region have moved toward legal recognition of indigenous justice systems. This turn toward legal pluralism, however, has been and continues to be heavily contested. The working paper explores a theoretical perspective that aims at analyzing and making sense of this contentious process by assessing the interplay between conflict and (mis)trust. Based on a review of the existing scholarship on legal pluralism and indigenous justice in the Andean region, with a particular focus on the cases of Bolivia and Ecuador, it is argued that manifest conflict over the contested recognition of indigenous justice can be considered as helpful and even necessary for the deconstruction of mistrust of indigenous justice. Still, such conflict can also help reproduce and even reinforce mistrust, depending on the ways in which conflict is dealt with politically and socially. The exploratory paper suggests four proposition that specify the complex and contingent relationship between conflict and (mis)trust in the contested negotiation of pluralist justice systems in the Andean region.
The European low-carbon transition began in the last few decades and is accelerating to achieve net-zero emissions by 2050. This paper examines how climate-related transition indicators of a large European corporate firm relate to its CDS-implied credit risk across various time horizons. Findings show that firms with higher GHG emissions have higher CDS spreads at all tenors, including the 30-year horizon, particularly after the 2015 Paris Agreement, and in prominent industries such as Electricity, Gas, and Mining. Results suggest that the European CDS market is currently pricing, to some extent, albeit small, the exposure to transition risk for a firm across different time horizons. However, it fails to account for a company’s efforts to manage transition risks and its exposure to the EU Emissions Trading Scheme. CDS market participants seem to find challenging to risk-differentiate ETS-participating firms from other firms.
I have assessed changes in the monetary policy stance in the euro area since its inception by applying a Bayesian time-varying parameter framework in conjunction with the Hamiltonian Monte Carlo algorithm. I find that the estimated policy response has varied considerably over time. Most of the results suggest that the response weakened after the onset of the financial crisis and while quantitative measures were still in place, although there are also indications that the weakening of the response to the expected inflation gap may have been less pronounced. I also find that the policy response has become more forceful over the course of the recent sharp rise in inflation. Furthermore, it is essential to model the stochastic volatility relating to deviations from the policy rule as it materially influences the results.
Testing frequency and severity risk under various information regimes and implications in insurance
(2023)
We build on Peter et al. (2017) who examined the benefit of testing frequency risk under various information regimes. We first consider testing only severity risk, and whether the principle of indemnity, i.e. the usual contract term that excludes claims payments above the resulting insured loss, affects the insurance contracts offered and purchased. Under information regimes which are less restrictive (in terms of obtaining and using customer information), it is possible for the insurer to offer different contracts for tested and untested individuals. In the absence of the principle of indemnity, individuals will test their severity risk and a separating equilibrium ensues. With the principle of indemnity, given an actuarially fair pooled contract, individuals will not test for severity under less restrictive information regimes; a pooling equilibrium thus ensues. Under more restrictive information regimes, the insurer offers separating contracts. Individuals will test for severity and purchase appropriate contracts. We also consider testing for both frequency and severity risk. The results here are more varied. The highest gain in efficiency from testing results from one of the more restrictive information regimes. Generally under all information regimes, there is a greater gain in efficiency without the principle of indemnity than with the principle of indemnity.
Unquestionably (or: undoubtedly), every competent speaker has already come to doubt with respect to the question of which form is correct or appropriate and should be used (in the standard language) when faced with two or more almost identical competing variants of words, word forms or sentence and phrase structure (e.g. German "Pizzas/Pizzen/Pizze" 'pizzas', Dutch "de drie mooiste/mooiste drie stranden" 'the three most beautiful/most beautiful three beaches', Swedish "större än jag/mig" 'taller than I/me'). Such linguistic uncertainties or "cases of doubt" (cf. i.a. Klein 2003, 2009, 2018; Müller & Szczepaniak 2017; Schmitt, Szczepaniak & Vieregge 2019; Stark 2019 as well as the useful collections of data of Duden vol. 9, Taaladvies.net, Språkriktighetsboken etc.) systematically occur also in native speakers and they do not necessarily coincide with the difficulties of second language learners. In present-day German, most grammatical uncertainties occur in the domains of inflection (nominal plural formation, genitive singular allomorphy of strong masc./neut. nouns, inflectional variation of weak masc. nouns, strong/weak adjectival inflection and comparison forms, strong/weak verb forms, perfect auxiliary selection) and word-formation (linking elements in compounds, separability of complex verbs). As for syntax, there are often doubts in connection with case choice (pseudo-partitive constructions, prepositional case government) and agreement (especially due to coordination or appositional structures). This contribution aims to present a contrastive approach to morphological and syntactic uncertainties in contemporary Germanic languages (mostly German, Dutch, and Swedish) in order to obtain a broader and more fine-grained typology of grammatical instabilities and their causes. As will be discussed, most doubts of competent speakers - a problem also for general linguistic theory - can be attributed to processes of language change in progress, to language or variety contact, to gaps and rule conflicts in the grammar of every language or to psycholinguistic conditions of language processing. Our main concerns will be the issues of which (kinds of) common or different critical areas there are within Germanic (and, on the other hand, in which areas there are no doubts), which of the established (cross-linguistically valid) explanatory approaches apply to which phenomena and, ultimately, the question whether the new data reveals further lines of explanation for the empirically observable (standard) variation.
In the euro area, monetary policy is conducted by a single central bank for 20 member countries. However, countries are heterogeneous in their economic development, including their inflation rates. This paper combines a New Keynesian model and a neural network to assess whether the European Central Bank (ECB) conducted monetary policy between 2002 and 2022 according to the weighted average of the inflation rates within the European Monetary Union (EMU) or reacted more strongly to the inflation rate developments of certain EMU countries.
The New Keynesian model first generates data which is used to train and evaluate several machine learning algorithms. They authors find that a neural network performs best out-of-sample. They use this algorithm to generally classify historical EMU data, and to determine the exact weight on the inflation rate of EMU members in each quarter of the past two decades. Their findings suggest disproportional emphasis of the ECB on the inflation rates of EMU members that exhibited high inflation rate volatility for the vast majority of the time frame considered (80%), with a median inflation weight of 67% on these countries. They show that these results stem from a tendency of the ECB to react more strongly to countries whose inflation rates exhibit greater deviations from their long-term trend.
Industry concentration and markups in the US have been rising over the last 3-4 decades. However, the causes remain largely unknown. This paper uses machine learning on regulatory documents to construct a novel dataset on compliance costs to examine the effect of regulations on market power. The dataset is comprehensive and consists of all significant regulations at the 6-digit NAICS level from 1970-2018. We find that regulatory costs have increased by $1 trillion during this period. We document that an increase in regulatory costs results in lower (higher) sales, employment, markups, and profitability for small (large) firms. Regulation driven increase in concentration is associated with lower elasticity of entry with respect to Tobin's Q, lower productivity and investment after the late 1990s. We estimate that increased regulations can explain 31-37% of the rise in market power. Finally, we uncover the political economy of rulemaking. While large firms are opposed to regulations in general, they push for the passage of regulations that have an adverse impact on small firms.
We find that high macroeconomic uncertainty is associated with greater accumulation of physical capital, despite a reduction in investment and valuations. To reconcile this puzzling evidence, we show that uncertainty predicts lower depreciation and utilization of existing capital, which dominates the investment slowdown. Motivated by these dynamics, we develop a quantitative production-based model in which firms implement precautionary savings through reducing utilization rather than raising invest-ment. Through this novel intensive-margin mechanism, uncertainty shocks command a quarter of the equity premium in general equilibrium, while flexibility in utilization adjustments helps explain uncertainty risk exposures in the cross-section of industry returns.