nep-cfn New Economics Papers
on Corporate Finance
Issue of 2018‒12‒24
five papers chosen by
Zelia Serrasqueiro
Universidade da Beira Interior

  1. The Benchmark Inclusion Subsidy By Kashyap, Anil K; Kovrijnykh, Natalia; Li, Jian; Pavlova, Anna
  2. Securitization and crash risk : Evidence from large European banks By Battaglia, Francesca; Buchanan, Bonnie G.; Fiordelisi, Franco; Ricci, Ornella
  3. Trade and Credit Reallocation: How Banks Help Shape Comparative Advantage By Keuschnigg, Christian; Kogler, Michael
  4. The role of prepayment penalties in mortgage loans By Beltratti, Andrea; Benetton, Matteo; Gavazza, Alessandro
  5. Learning from Noise: Evidence from India's IPO Lotteries By Anagol, Santosh; Balasubramaniam, Vimal; Ramadorai, Tarun

  1. By: Kashyap, Anil K; Kovrijnykh, Natalia; Li, Jian; Pavlova, Anna
    Abstract: We study the impact of evaluating the performance of asset managers relative to a benchmark portfolio on firms' investment, merger and IPO decisions. We introduce asset managers into an otherwise standard asset pricing model and show that firms that are part of the benchmark are effectively subsidized by the asset managers. This "benchmark inclusion subsidy" arises because asset managers have incentives to hold some of the equity of firms in the benchmark regardless of the risk characteristics of these firms. Contrary to what is usually taught in corporate finance, we show that the value of an investment project is not governed solely by its own cash-flow risk. Instead, because of the benchmark inclusion subsidy, a firm inside the benchmark would accept some projects that an identical one outside the benchmark would decline. The two types of firms' incentives to undertake mergers or spinoffs also differ and the presence of the subsidy can alter a decision to take a firm public. We show that the higher the cash-flow risk of an investment, the larger the benchmark inclusion subsidy; the subsidy is zero for safe projects. Benchmarking also leads fundamental firm-level cash-flow correlations to rise. We review a host of empirical evidence that is consistent with the implications of the model.
    Keywords: asset management; Benchmark; Index; investment; mergers; Project Valuation
    JEL: G11 G12 G23 G32 G34
    Date: 2018–12
    URL: http://d.repec.org/n?u=RePEc:cpr:ceprdp:13356&r=cfn
  2. By: Battaglia, Francesca; Buchanan, Bonnie G.; Fiordelisi, Franco; Ricci, Ornella
    Abstract: The 2008 global financial crisis highlights the importance of securitization and crash risk. Yet there is a dearth of papers exploring the link between securitization and crash risk. We analyze 7,096 securitization deals made by large European listed banks between 2000 and 2017. Our paper provides evidence that bank risk declines in the year of the securitization and increases in the following year. We also show that this effect is driven by low-risk securitization deals. We use a dynamic panel data approach to establish a causal relationship and control the robustness of our results by using different tail risk measures (such as crash risk, value at risk, and expected shortfall). We also show that the risk reduction effect is weaker in crisis periods relative to normal times. Our findings have policy implications as regulators attempt to revive European securitization markets.
    JEL: F30 G01 G14 G21 G32
    Date: 2018–12–11
    URL: http://d.repec.org/n?u=RePEc:bof:bofrdp:2018_026&r=cfn
  3. By: Keuschnigg, Christian; Kogler, Michael
    Abstract: Trade and innovation cause structural change. Productive factors must flow from declining to growing industries. Banks play a major role in cutting credit to non-viable firms in downsizing sectors and in providing new credit to finance investment in expanding, innovative sectors. Structural parameters of a country's banking system thus influence comparative advantage and trade, and can magnify the gains from trade liberalization. The analysis shows how insolvency laws, minimum capital standards, and cost of bank equity determine credit reallocation, sectoral expansion and trade patterns.
    Keywords: Banking; capital reallocation; comparative advantage; Trade
    JEL: F10 G21 G28
    Date: 2018–12
    URL: http://d.repec.org/n?u=RePEc:cpr:ceprdp:13375&r=cfn
  4. By: Beltratti, Andrea; Benetton, Matteo; Gavazza, Alessandro
    Abstract: We study the effect of mortgage prepayment penalties on borrowers’ prepayments and delinquencies by exploiting a 2007 reform in Italy that reduced penalties on outstanding mortgages and banned penalties on newly-issued mortgages. Using a unique dataset of mortgages issued by a large Italian lender, we provide evidence that: 1) before the reform, mortgages issued to riskier borrowers included larger penalties; 2) higher prepayment penalties decreased borrowers’ prepayments; and 3) higher prepayment penalties did not affect borrowers’ delinquencies. Moreover, we find suggestive evidence that prepayment penalties affected mortgage pricing, as well as prepayments and delinquencies through borrowers’ mortgage selection at origination, most notably for riskier borrowers.
    Keywords: mortgages; prepayment penalties; refinancing; default
    JEL: F3 G3
    Date: 2017–09–01
    URL: http://d.repec.org/n?u=RePEc:ehl:lserod:81841&r=cfn
  5. By: Anagol, Santosh; Balasubramaniam, Vimal; Ramadorai, Tarun
    Abstract: We study a natural experiment in which 1.5 million investors participate in allocation lotteries for Indian IPO stocks. Randomized IPO gains cause winning investors to increase applications to future IPOs and substantially increase portfolio trading volume in non-IPO stocks relative to lottery losers; the effects are symmetrically negative for experienced losses. Investors who have received multiple past IPO allocations show smaller responses, suggesting learning/selection moderates responses to noise shocks. The evidence is most consistent with investors learning about their own ability from experienced noise, drawing inferences about their skill from luck.
    Keywords: causal inference; experience; India; investment; learning; lotteries
    JEL: C9 D83 G12 G14
    Date: 2018–11
    URL: http://d.repec.org/n?u=RePEc:cpr:ceprdp:13314&r=cfn

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