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Substantial research attention has been devoted to the pension accumulation process, whereby employees and those advising them work to accumulate funds for retirement. Until recently, less analysis has been devoted to the pension decumulation process – the process by which retirees finance their consumption during retirement. This gap has recently begun to be filled by an active group of researchers examining key aspects of the pension payout market. One of the areas of most interesting investigation has been in the area of annuities, which are financial products intended to cover the risk of retirees outliving their assets. This paper reviews and extends recent research examining the role of annuities in helping finance retirement consumption. We also examine key market and regulatory factors.
This paper examines the provision of managerial investment incentives by an accounting based incentive scheme in a multiperiod agency setting in which an impatient manager has to choose between mutually exclusive investment projects. We study the properties of accounting rules that motivate an impatient manager to exert unobservable effort and to make optimal investment decisions. In this analysis, a realized cash flow constitutes a noisy signal that contains information about the unknown profitability of the investment project. By observing these signals a principal is able to revise his prior beliefs about the agent´s investment decision. The revision of the principal´s prior beliefs leads to a trade off between the provision of efficient investment incentives and intertemporalsharing of output.
Under a new Basel capital accord, bank regulators might use quantitative measures when evaluating the eligibility of internal credit rating systems for the internal ratings based approach. Based on data from Deutsche Bundesbank and using a simulation approach, we find that it is possible to identify strongly inferior rating systems out-of time based on statistics that measure either the quality of ranking borrowers from good to bad, or the quality of individual default probability forecasts. Banks do not significantly improve system quality if they use credit scores instead of ratings, or logistic regression default probability estimates instead of historical data. Banks that are not able to discriminate between high- and low-risk borrowers increase their average capital requirements due to the concavity of the capital requirements function.
The theoretical derivation of credit market segmentation as the result of a free market process
(2003)
Information asymmetries make it difficult for banks to assess accurately whether specific entrepreneurs are able and/or willing to repay their loans. This leads to implicit interest rate ceilings, i.e. banks "refuse" to increase their interest rates beyond this ceiling as this would lower their net returns. Although the maximum interest rate increases as the size of enterprises decreases, such ceilings nonetheless constrain the banks’ ability to set interest rates at a level that would enable them to cover costs. If transaction costs are high, the total costs associated with granting small and medium-sized loans will exceed the maximum average return which the banks can earn by issuing such loans. For this reason, banks do not lend to small and medium-sized enterprises, and, as a consequence, these businesses have no access to formal sector loans. Because micro and small enterprises have a very high RoI, it is worthwhile for them to rely on expensive informal loans to finance their operations, at least until they reach a certain size. Once they have reached this size, however, it does not make economic sense for them to continue taking out informal credits, and thus they face a growth constraint imposed by the credit market. Medium-sized enterprises earn a lower RoI than small ones, which is why borrowing in the informal credit market is not a worthwhile option for them. Moreover, they do not have access to credit from formal financial institutions, and are thus excluded from obtaining any kind of financing in either of the two credit markets. As the result of free, unregulated market forces we get a stable equilibrium in which the credit market is segmented into an informal (small loan) segment, a formal (large loan) segment and, in between, a "non-market" (medium loan) segment.
This paper analyses the long-term effects of improved small-scale lending, often provided by microfinance institutions set up with the support of development aid. The analysis shows that some common assumptions about microfinance are not true at all: First, it shows that the impact on income will accrue not to the microenterprises themselves, but rather to the consumers of their products. Second, microfinance will have a significant positive effect on the wage levels of employees in the informal sector. Third, microfinance will cause high growth rates in the informal production sector, whereas the trade sector will either contract or at best grow very little.
In this paper, we calculate a transaction–based price index for apartments in Paris (France). The heterogeneous character of real estate is taken into account using an hedonic model. The functional form is specified using a general Box–Cox function. The data basis covers 84 686 transactions of the housing market in 1990:01–1999:12, which is one of the largest samples ever used in comparable studies. Low correlations of the price index with stock and bond indices (first differences) indicate diversification benefits from the inclusion of real estate in a mixed asset portfolio. JEL C43, C51, O18, R20.
An economy in which deposit-taking banks of a Diamond/ Dybvig style and an asset market coexist is modelled. Firstly, within this framework we characterize distinct financial systems depending on the fraction of households with direct investment opportunities that are less efficient than those available to banks. With this fraction comparatively low, the evolving financial system can be interpreted as market-oriented. In this system, banks only provide efficient investment opportunities to households with inferior investment alternatives. Banks are not active in the secondary financial market nor do they provide any liquidity insurance to their depositors. Households participate to a large extent in the primary as well as in the secondary financial markets. In the other case of a relatively high fraction of households with inefficient direct investment opportunities, a bank-dominated financial system arises, in which banks provide liquidity transformation, are active in secondary financial markets and are the only player in primary markets, while households only participate in secondary financial markets. Secondly, we analyze the effect a run on a single bank has on the entire financial system. Interestingly, we can show that a bank run on a single bank causes contagion via the financial market neither in market-oriented nor in extremely bank-dominated financial systems. But in only moderately bank-dominated (or hybrid) financial systems fire sales of long-term financial claims by a distressed bank cause a sudden drop in asset prices that precipitates other banks into crisis.
Capital rationing is an empirically well-documented phenomenon. This constraint requires managers to make investment decisions between mutually exclusive investment opportunities. In a multiperiod agency setting, this paper analyses accounting rules that provide managerial incentives for efficient project selection. In order to motivate a shortsighted manager to expend unobservable effort and to make efficient investment decisions, the principal sets up an incentive scheme based on residual income (e.g. EVATM). The paper shows that income smoothing generates a trade-off between agency costs resulting from differences in discount rates and the costs associated with the "congruity" of residual earnings.
Open-end real estate funds (so called “Offene Immobilienfonds”) play a major role in the German market for securitised real estate investments. Such funds are pools of money from many investors, which are invested in real estate by special investment management companies. This study seeks to identify the risk and return profile of this investment vehicle (before and after income taxes), to compare them with those of other major asset classes, and to provide implications for their appropriate role in a mixed-asset portfolio. Addition-ally, an overview of the institutional architecture and role of German open-end real estate funds is given. Empirical evidence suggests that the financial characteristics of open-end real estate funds are in many respects similar to those reported for direct real estate invest-ments. Accordingly, German open-end real estate funds qualify for medium and long-term investment horizons, rather than for shorter holding periods.
This paper investigates the magnitude and the main determinants of share price reactions to buy-back announcements of German corporations. Based on a sample of 224 announcements from the period May 1998 to April 2003 we find average cumulative abnormal returns around -7.5% for the thirty days preceding the announcement and around +7.0 % for the ten days following the announcement. We regress postannouncement abnormal returns with multiple firm characteristics and provide evidence which supports the undervaluation signaling hypothesis but not the excess cash hypothesis. In extending prior empirical work, we also analyze price effects from an initial statement by management that it intends to seek shareholder approval for a buy-back plan. Observed cumulative abnormal returns on this initial date are in excess of 5% implying a total average price effect between 12% and 15% from implementing a buy-back plan. We conjecture that the German regulatory environment is the main reason why market variations to buy-back announcements are much stronger in Germany than in other countries and conclude that initial statements by managers to seek shareholders’ approval for a buy-back plan should also be subject to legal ad-hoc disclosure requirements. EFM classification: 330, 350
A widely recognized paper by Colin Mayer (1988) has led to a profound revision of academic thinking about financing patterns of corporations in different countries. Using flow-of-funds data instead of balance sheet data, Mayer and others who followed his lead found that internal financing is the dominant mode of financing in all countries, that therefore financial patterns do not differ very much between countries and that those differences which still seem to exist are not at all consistent with the common conviction that financial systems can be classified as being either bank-based or capital market-based. This leads to a puzzle insofar as it calls into question the empirical foundation of the widely held belief that there is a correspondence between the financing patterns of corporations on the one side, and the structure of the financial sector and the prevailing corporate governance system in a given country on the other side. The present paper addresses this puzzle on a methodological and an empirical basis. It starts by demonstrating that the surprising empirical results found by Mayer et al. are due to a hidden assumption underlying their methodology. It then derives an alternative method of measuring financing patterns, which also uses flow-of-funds data, but avoids the questionable assumption. This measurement concept is then applied to patterns of corporate financing in Germany, Japan and the United States. The empirical results are very much in line with the commonly held belief prior to Mayer’s influential contribution and indicate that the financial systems of the three countries do indeed differ from one another in a substantial way.
The paper is a follow-up to an article published in Technique Financière et Developpement in 2000 (see the appendix to the hardcopy version), which portrayed the first results of a new strategy in the field of development finance implemented in South-East Europe. This strategy consists in creating microfinance banks as greenfield investments, that is, of building up new banks which specialise in providing credit and other financial services to micro and small enterprises, instead of transforming existing credit-granting NGOs into formal banks, which had been the dominant approach in the 1990s. The present paper shows that this strategy has, in the course of the last five years, led to the emergence of a network of microfinance banks operating in several parts of the world. After discussing why financial sector development is a crucial determinant of general social and economic development and contrasting the new strategy to former approaches in the area of development finance, the paper provides information about the shareholder composition and the investment portfolio of what is at present the world's largest and most successful network of microfinance banks. This network is a good example of a well-functioning "private public partnership". The paper then provides performance figures and discusses why the creation of such a network seems to be a particularly promising approach to the creation of financially self-sustaining financial institutions with a clear developmental objective.
This paper provides an in-depth analysis of the properties of popular tests for the existence and the sign of the market price of volatility risk. These tests are frequently based on the fact that for some option pricing models under continuous hedging the sign of the market price of volatility risk coincides with the sign of the mean hedging error. Empirically, however, these tests suffer from both discretization error and model mis-specification. We show that these two problems may cause the test to be either no longer able to detect additional priced risk factors or to be unable to identify the sign of their market prices of risk correctly. Our analysis is performed for the model of Black and Scholes (1973) (BS) and the stochastic volatility (SV) model of Heston (1993). In the model of BS, the expected hedging error for a discrete hedge is positive, leading to the wrong conclusion that the stock is not the only priced risk factor. In the model of Heston, the expected hedging error for a hedge in discrete time is positive when the true market price of volatility risk is zero, leading to the wrong conclusion that the market price of volatility risk is positive. If we further introduce model mis-specification by using the BS delta in a Heston world we find that the mean hedging error also depends on the slope of the implied volatility curve and on the equity risk premium. Under parameter scenarios which are similar to those reported in many empirical studies the test statistics tend to be biased upwards. The test often does not detect negative volatility risk premia, or it signals a positive risk premium when it is truly zero. The properties of this test furthermore strongly depend on the location of current volatility relative to its long-term mean, and on the degree of moneyness of the option. As a consequence tests reported in the literature may suffer from the problem that in a time-series framework the researcher cannot draw the hedging errors from the same distribution repeatedly. This implies that there is no guarantee that the empirically computed t-statistic has the assumed distribution. JEL: G12, G13 Keywords: Stochastic Volatility, Volatility Risk Premium, Discretization Error, Model Error
This study contributes to the valuation of employee stock options (ESO) in two ways: First, a new pricing model is presented, admitting a major part of calculations to be solved in closed form. Designed with a focus on good replication of empirics, the model fits with publicly observable exercise characteristics better than earlier models. In particular, it is able to account for the correlation of the time of exercise and the stock price at exercise, suspected of being crucial for the option value. The impact of correlation is weak, however, whereas cancellations play a central role. The second contribution of this paper is an examination to what extent the ESO pricing method of SFAS 123 is subject to discretion of the accountant. Given my model were true, the SFAS price would be a good proxy. Yet, outside shareholders usually cannot observe one of the SFAS input parameters. On behalf of an example I show that there is wide latitude left to the accountant.
This study contributes to the valuation of employee stock options (ESO) in two ways: First, a new pricing model is presented, admitting a major part of calculations to be solved in closed form. Designed with a focus on good replication of empirics, the model fits with publicly observable exercise characteristics better than earlier models. In particular, it is able to account for the correlation of the time of exercise and the stock price at exercise, suspected of being crucial for the option value. The impact of correlation is weak, however, whereas cancellations play a central role. The second contribution of this paper is an examination to what extent the ESO pricing method of SFAS 123 is subject to discretion of the accountant. Given my model were true, the SFAS price would be a good proxy. Yet, outside shareholders usually cannot observe one of the SFAS input parameters. On behalf of an example I show that there is wide latitude left to the accountant.
In a framework closely related to Diamond and Rajan (2001) we characterize different financial systems and analyze the welfare implications of different LOLR-policies in these financial systems. We show that in a bank-dominated financial system it is less likely that a LOLR-policy that follows the Bagehot rules is preferable. In financial systems with rather illiquid assets a discretionary individual liquidity assistance might be welfare improving, while in market-based financial systems, with rather liquid assets in the banks' balance sheets, emergency liquidity assistance provided freely to the market at a penalty rate is likely to be efficient. Thus, a "one size fits all"-approach that does not take the differences of financial systems into account is misguiding. JEL - Klassifikation: D52 , E44 , G21 , E52 , E58
When options are traded, one can use their prices and price changes to draw inference about the set of risk factors and their risk premia. We analyze tests for the existence and the sign of the market prices of jump risk that are based on option hedging errors. We derive a closed-form solution for the option hedging error and its expectation in a stochastic jump model under continuous trading and correct model specification. Jump risk is structurally different from, e.g., stochastic volatility: there is one market price of risk for each jump size (and not just \emph{the} market price of jump risk). Thus, the expected hedging error cannot identify the exact structure of the compensation for jump risk. Furthermore, we derive closed form solutions for the expected option hedging error under discrete trading and model mis-specification. Compared to the ideal case, the sign of the expected hedging error can change, so that empirical tests based on simplifying assumptions about trading frequency and the model may lead to incorrect conclusions.
This paper deals with the superhedging of derivatives and with the corresponding price bounds. A static superhedge results in trivial and fully nonparametric price bounds, which can be tightened if there exists a cheaper superhedge in the class of dynamic trading strategies. We focus on European path-independent claims and show under which conditions such an improvement is possible. For a stochastic volatility model with unbounded volatility, we show that a static superhedge is always optimal, and that, additionally, there may be infinitely many dynamic superhedges with the same initial capital. The trivial price bounds are thus the tightest ones. In a model with stochastic jumps or non-negative stochastic interest rates either a static or a dynamic superhedge is optimal. Finally, in a model with unbounded short rates, only a static superhedge is possible.
Empirical evidence suggests that even those firms presumably most in need of monitoringintensive financing (young, small, and innovative firms) have a multitude of bank lenders, where one may be special in the sense of relationship lending. However, theory does not tell us a lot about the economic rationale for relationship lending in the context of multiple bank financing. To fill this gap, we analyze the optimal debt structure in a model that allows for multiple but asymmetric bank financing. The optimal debt structure balances the risk of lender coordination failure from multiple lending and the bargaining power of a pivotal relationship bank. We show that firms with low expected cash-flows or low interim liquidation values of assets prefer asymmetric financing, while firms with high expected cash-flow or high interim liquidation values of assets tend to finance without a relationship bank. JEL - Klassifikation: G21 , G78 , G33
This paper suggests a motive for bank mergers that goes beyond alleged and typically unverifiable scale economies: preemtive resolution of banks´ financial distress. Such "distress mergers" can be a significant motivation for mergers because they can foster reorganizations, realize diversification gains, and avoid public attention. However, since none of these potential benefits comes without a cost, the overall assessment of distress mergers is unclear. We conduct an empirical analysis to provide evidence on consequences of distress mergers. The analysis is based on comprehensive data from Germany´s savings and cooperatives banks sectors over the period 1993 to 2001. During this period both sectors faced significant structural problems and superordinate institutions (associations) presumably have engaged in coordinated actions to manage distress mergers. The data comprise 3640 banks and 1484 mergers. Our results suggest that bank mergers as a means of preemtive distress resolution have moderate costs in terms of the economic impact on performance. We do find strong evidence consistent with diversification gains. Thus, distress mergers seem to have benefits without affecting systematic stability adversely.