Jean-Baptiste Hasse

Membre affilié , Insti7 – Asset management consulting firm

Économétrie, finance et méthodes mathématiques
Domaine(s) de recherche
Macroéconomie
Thèse
2016, University of Paris Saclay-LITEM
Téléchargement
CV
Contact
jb-hasse[at]hotmail.fr
Résumé In this paper, we examine rebalancing strategies for long-term institutional investors. Specifically, we test the difference in risk-adjusted performance between stock-bond portfolios based on buy-and-hold, periodic and threshold rebalancing strategies. Using the Norwegian Sovereign Wealth Fund (SWF) as a benchmark and an econometric approach based on a bootstrap test of Sharpe ratio differences, we show that the optimal rebalancing differs across economic and financial cycles. Furthermore, we find that the optimal strategy is periodic rebalancing except during recessions and crises when the buy-and-hold approach is best, thus calling into question the hypothesis of the countercyclical behaviour of SWFs. Our results are robust to alternative performance measures, asset allocations, investment horizons, rebalancing rules, nonnormal and noniid returns, transaction costs and time sampling. Finally, our findings promote the consideration of macroprudential rules to improve the Santiago Principles and a specific monitoring framework targeted at SWFs.
Mots clés Portfolio rebalancing, Financial stability, Boobstrap test, Institutional investors
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Résumé This paper assesses whether and how setting up a sovereign wealth fund has a buffer effect against currency crises. Using an innovative dynamic logit panel model framework and a unique dataset covering 34 emerging countries over the period 1989–2019, we empirically show that sovereign wealth funds reduce the occurrence of currency crises. This result is robust to different econometric specifications, alternative definitions of sovereign wealth funds, controlling for currency crisis risk factors, and income level sampling. Our findings have important implications for financial stability and for policymakers, who could further exploit the potential of sovereign wealth funds to better manage foreign exchange risks.
Publication HAL Google Scholar
Résumé In statistics, samples are drawn from a population in a data‐generating process (DGP). Standard errors measure the uncertainty in estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence‐generating process (EGP). We claim that EGP variation across researchers adds uncertainty—nonstandard errors (NSEs). We study NSEs by letting 164 teams test the same hypotheses on the same data. NSEs turn out to be sizable, but smaller for more reproducible or higher rated research. Adding peer‐review stages reduces NSEs. We further find that this type of uncertainty is underestimated by participants.
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Résumé In this paper, we evaluate the causal effects of climate policies on carbon emissions reduction. Specifically, we investigate the properties of the Granger causality test in the frequency domain, assuming that the dependent variables include a binary variable and a continuous variable (resp. treatment and outcome variables). Monte Carlo simulations confirm that: (i) this test is valid under this assumption; and (ii) it has more power than its time-domain counterpart. Then, using Sweden as a case study, we evaluate the impact of the Kyoto Protocol, the Swedish carbon tax, and the European Union Emissions Trading System (EU ETS) on carbon emissions reduction over the period 1964-2021. Our empirical results indicate that only the carbon tax Granger causes carbon emissions reduction in the long run. Our methodological framework offers policymakers a useful toolbox for climate policy evaluation as well as new insights into the outcomes of international treaties and carbon pricing policies.
Mots clés Climate policy, Carbon pricing, Spectral analysis, Granger causality
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Résumé This paper highlights the procyclical and unstable behaviour of mutual funds, characterized by a varying sensitivity on common asset pricing factors. It proposes a novel factor model that allows for regime changes associated with macroeconomic and financial state variables. Estimated on a panel covering 825 US equity mutual funds over a period of 30 years, it appears that the yield curve, the dividend yield, short term interest rates and the industrial production coincide with regimes switches in the Fama-French factors. Furthermore, the estimated regimes coincide with financial crises and economic downturns, thus confirming the procyclical behaviour of mutual funds' returns. These findings, coupled with the emerging systemic role of mutual funds, promote the consideration for a specific macroprudential regulatory framework targeted at the mutual fund industry.
Mots clés Financial stability, Macroprudential framework, Mutual fund industry, Régulation
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Résumé We propose a new measure of systemic risk based on interconnectedness, defined as the level of direct and indirect links between financial institutions in a correlation-based network. Deriving interconnectedness in terms of risk, we empirically show that within a financial network, indirect links are strengthened during systemic events. The relevance of our measure is illustrated at both local and global levels. Our framework offers policymakers a useful toolbox for exploring the real-time topology of the complex structure of dependencies in financial systems and for measuring the consequences of regulatory decisions.
Mots clés Spillover, Systemic risk, Interconnectedness, Financial networks
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Résumé In this paper, we reexamine the predictive power of the yield spread across countries and over time. Using a dynamic panel/dichotomous model framework and a unique dataset covering 13 OECD countries over the period 1975–2019, we empirically show that the yield spread signals recessions. This result is robust to different econometric specifications, controlling for recession risk factors and time sampling. Using a new cluster analysis methodology, we present empirical evidence of a partial homogeneity of the predictive power of the yield spread. Our results provide a valuable framework for monitoring economic cycles.
Mots clés Yield spread Recession Panel binary model Cluster analysis
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Résumé In this paper, we examine the determinants of investor money flows in sustainable mutual funds. Owing to differences in preferences, we posit that ESG investors are more sensitive to mutual fund financial attributes than impact investors are. Using a dataset of 840 actively managed European sustainable equity funds for the period 2018–2025, we find that fund flows are significantly more sensitive to past performance for ESG funds than for impact funds. Our empirical results are in line with impact investor specificity among sustainable investors: the first invest for ESG values, whereas the latter invest with ESG values. Our findings are robust to alternative sustainable classifications, geographical investment areas, investor types and time sampling.
Mots clés Impact investing, Mutual funds, Investor behavior, Cash flows
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Résumé In this paper, we present a critical raw materials index (CRMI) that represents the price dynamics of the raw materials required for the low-carbon transition. Using a unique market and trade dataset covering 29 critical raw materials from 2012 to 2023, we construct a weekly trade weighted price index following a robust methodological framework. The relevance of our index is demonstrated through a validation process including a plausibility analysis and a comparability analysis. In addition, a sensitivity analysis provides empirical evidence of the robustness of our index to alternative data treatment, weighting factors and weighting schemes. Our framework offers policymakers a useful price benchmark to track the underlying metal market dynamics required by the growing clean energy sectors.
Mots clés Critical Raw Materials Index CRMI, Energy Transition, Index Construction, Metal prices
Télécharger HAL Google Scholar
Résumé This paper assesses whether and how setting up a sovereign wealth fund has a buffer effect against currency crises. Using an innovative dynamic logit panel model framework and a unique dataset covering 34 emerging countries over the period 1989–2019, we empirically show that sovereign wealth funds reduce the occurrence of currency crises. This result is robust to different econometric specifications, alternative definitions of sovereign wealth funds, controlling for currency crisis risk factors, and income level sampling. Our findings have important implications for financial stability and for policymakers, who could further exploit the potential of sovereign wealth funds to better manage foreign exchange risks.
Mots clés Currency Crisis, Sovereign Wealth Funds, Financial stability
Télécharger HAL Google Scholar
Résumé In this paper, we examine rebalancing strategies for long-term institutional investors. Specifically, we test the difference in risk-adjusted performances between stock-bond portfolios based on buy-and-hold, periodic and threshold rebalancing strategies. Using the Norwegian Sovereign Wealth Fund (SWF) as a benchmark and an econometric approach based on a bootstrap test of Sharpe ratios difference, we show that the optimal rebalancing differs across economic and financial cycles. Furthermore, we find that the optimal strategy is periodic rebalancing except during recessions and crises when the buy-and-hold approach is best, thus calling into question the hypothesis of the countercyclical behavior of SWFs. Our results are robust to alternative performance measures, asset allocations, investment horizons, rebalancing rule, nonnormal and non-iid returns, transaction costs and time sampling. Finally, our findings promote the consideration of macroprudential rules to improve the Santiago Principles and a specific monitoring framework targeted at SWFs.
Mots clés Portfolio rebalancing, Financial stability, Bootstrap Test, Institutional investors
Télécharger HAL Google Scholar
Résumé We propose a new measure of systemic risk based on interconnectedness, defined as the level of direct and indirect links between financial institutions in a correlation-based network. Deriving interconnectedness in terms of risk, we empirically show that within a financial network, indirect links are strengthened during systemic events. The relevance of our measure is illustrated at both local and global levels. Our framework offers policymakers a useful toolbox for exploring the real-time topology of the complex structure of dependencies in financial systems and for measuring the consequences of regulatory decisions.
Mots clés Financial networks, Interconnectedness, Systemic risk, Spillover
Télécharger HAL Google Scholar
Résumé In this paper, we reexamine the predictive power of the yield spread across countries and over time. Using a dynamic panel/dichotomous model framework and a unique dataset covering 13 OECD countries over a period of 45 years, we empirically show that the yield spread signals recessions. This result is robust to different econometric specifications, controlling for recession risk factors and time sampling. Using a new cluster analysis methodology, we present empirical evidence of a partial homogeneity of the predictive power of the yield spread. Our results provide a valuable framework for monitoring economic cycles.
Mots clés Yield Spread, Recession, Panel Binary Model, Cluster Analysis
Télécharger HAL Google Scholar