Who Benefits from Mandatory CSR? Evidence from the Indian Companies Act 2013
Emerging Markets Review,
We examine the value impact of mandatory Corporate Social Responsibility (CSR) spending required by the Indian Companies Act of 2013 for large and profitable Indian firms. We find that the external mandate is value decreasing, even after controlling for prior voluntary CSR activity by firms affected by the mandate. We also find that there is systematic crosssectional variation across firms. Firms that are profitable and firms in the Fast Moving Consumer Goods sector that voluntarily engaged in CSR, benefit from CSR. Industrial firms and firms with high capital expenditures are negatively impacted by the mandate. We conclude that a one-size-fits-all approach to CSR is sub-optimal and value decreasing.
Lending Effects of the ECB’s Asset Purchases
Journal of Monetary Economics,
Between 2010 and 2012, the European Central Bank absorbed €218 billion worth of government securities from five EMU countries under the Securities Markets Programme (SMP). Detailed security holdings data at the bank level affirms an effective lending stimulus due to the SMP. Exposed banks contract household lending, but increase commercial lending substantially. Holding non-SMP securities from stressed EMU countries amplifies the commercial lending response. The SMP also improved liquidity buffers and profitability without compromising credit quality.
Dynamic Equity Slope
Working Papers University of Venice "Ca' Foscari",
The term structure of equity and its cyclicality are key to understand the risks drivingequilibrium asset prices. We propose a general equilibrium model that jointly explainsfour important features of the term structure of equity: (i) a negative unconditionalterm premium, (ii) countercyclical term premia, (iii) procyclical equity yields, and (iv)premia to value and growth claims respectively increasing and decreasing with thehorizon. The economic mechanism hinges on the interaction between heteroskedasticlong-run growth — which helps price long-term cash flows and leads to countercyclicalrisk premia — and homoskedastic short-term shocks in the presence of limited marketparticipation — which produce sizeable risk premia to short-term cash flows. The slopedynamics hold irrespective of the sign of its unconditional average. We provide empir-ical support to our model assumptions and predictions.
06.08.2020 • 15/2020
IWH Bankruptcy Update: Number of Employees Affected by Bankruptcy Continues to Rise in Germany
In July, more than three times as many jobs were impacted by corporate bankruptcies in Germany in comparison to the monthly averages from early 2020. The July figure was also significantly higher in relation to the previous month. By contrast, the number of bankruptcies fell slightly. These are the main findings of the most recent IWH Bankruptcy Update published by the Halle Institute for Economic Research (IWH), which provides monthly reports on German bankruptcies.
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03.07.2020 • 12/2020
IWH Bankruptcy Update: Much more jobs affected by corporate bankruptcy in Germany
The number of corporate bankruptcies declines but, compared to the beginning of the year, the number of affected employees per month recently doubled. This is the latest insight from the IWH Bankruptcy Update provided monthly by the Halle Institute for Economic Research (IWH).
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Increase in Personal Contacts Spurs Economic Activity This summer the economic outlook in Germany is bright. As the...
IWH Alumni The IWH would like to stay in contact with its former employees. We...
Why are some Chinese Firms Failing in the US Capital Markets? A Machine Learning Approach
Pacific-Basin Finance Journal,
We study the market performance of Chinese companies listed in the U.S. stock exchanges using machine learning methods. Predicting the market performance of U.S. listed Chinese firms is a challenging task due to the scarcity of data and the large set of unknown predictors involved in the process. We examine the market performance from three different angles: the underpricing (or short-term market phenomena), the post-issuance stock underperformance (or long-term market phenomena), and the regulatory delistings (IPO failure risk). Using machine learning techniques that can better handle various data problems, we improve on the predictive power of traditional estimations, such as OLS and logit. Our predictive model highlights some novel findings: failed Chinese companies have chosen unreliable U.S. intermediaries when going public, and they tend to suffer from more severe owners-related agency problems.
IWH Bankruptcy Research
IWH Bankruptcy Research The Bankruptcy Research Unit of the Halle Institute for...