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his paper analyses the consumption-investment problem of a loss averse investor equipped with s-shaped utility over consumption relative to a time-varying reference level. Optimal consumption exceeds the reference level in good times and descend to the subsistence level in bad times. Accordingly, the optimal portfolio is dominated by a mean-variance component in good times and rebalanced more aggressively toward stocks in bad times. This consumption-investment strategy contrasts with customary portfolio theory and is consistent with several recent stylized facts about investors' behaviour. I also analyse the joint effect of loss aversion and persistence of the reference level on optimal choices. Finally, the strategy of the loss averse investor outperforms the conventional Merton-style strategies in bad times, but tend to be dominated by the conventional strategies in good times.
This paper addresses whether and to what extent econometric methods used in experimental studies can be adapted and applied to financial data to detect the best-fitting preference model. To address the research question, we implement a frequently used nonlinear probit model in the style of Hey and Orme (1994) and base our analysis on a simulation stud. In detail, we simulate trading sequences for a set of utility models and try to identify the underlying utility model and its parameterization used to generate these sequences by maximum likelihood. We find that for a very broad classification of utility models, this method provides acceptable outcomes. Yet, a closer look at the preference parameters reveals several caveats that come along with typical issues attached to financial data, and that some of these issues seems to drive our results. In particular, deviations are attributable to effects stemming from multicollinearity and coherent under-identification problems, where some of these detrimental effects can be captured up to a certain degree by adjusting the error term specification. Furthermore, additional uncertainty stemming from changing market parameter estimates affects the precision of our estimates for risk preferences and cannot be simply remedied by using a higher standard deviation of the error term or a different assumption regarding its stochastic process. Particularly, if the variance of the error term becomes large, we detect a tendency to identify SPT as utility model providing the best fit to simulated trading sequences. We also find that a frequent issue, namely serial correlation of the residuals, does not seem to be significant. However, we detected a tendency to prefer nesting models over nested utility models, which is particularly prevalent if RDU and EXPO utility models are estimated along with EUT and CRRA utility models.
We designed and fielded an experimental module in the 2014 HRS which seeks to measure older persons’ willingness to voluntarily defer claiming of Social Security benefits. In addition we evaluate the stated willingness of older individuals to work longer, depending on the Social Security incentives offered to delay claiming their benefits. Our project extends previous work by analyzing the results from our HRS module and comparing findings from other data sources, which included very much smaller samples of older persons. We show that half of the respondents would delay claiming if no work requirement were in place under the status quo, and only slightly fewer, 46 percent, with a work requirement. We also asked respondents how large a lump sum they would need with or without a work requirement. In the former case, the average amount needed to induce delayed claiming was about $60,400, while when part-time work was required, the average was $66,700. This implies a low utility value of leisure foregone of only $6,300, or about 10 percent of older households’ income.
The global financial crisis and the ensuing criticism of macroeconomics have inspired researchers to explore new modeling approaches. There are many new models that deliver improved estimates of the transmission of macroeconomic policies and aim to better integrate the financial sector in business cycle analysis. Policy making institutions need to compare available models of policy transmission and evaluate the impact and interaction of policy instruments in order to design effective policy strategies. This paper reviews the literature on model comparison and presents a new approach for comparative analysis. Its computational implementation enables individual researchers to conduct systematic model comparisons and policy evaluations easily and at low cost. This approach also contributes to improving reproducibility of computational research in macroeconomic modeling. Several applications serve to illustrate the usefulness of model comparison and the new tools in the area of monetary and fiscal policy. They include an analysis of the impact of parameter shifts on the effects of fiscal policy, a comparison of monetary policy transmission across model generations and a cross-country comparison of the impact of changes in central bank rates in the United States and the euro area. Furthermore, the paper includes a large-scale comparison of the dynamics and policy implications of different macro-financial models. The models considered account for financial accelerator effects in investment financing, credit and house price booms and a role for bank capital. A final exercise illustrates how these models can be used to assess the benefits of leaning against credit growth in monetary policy.
This paper studies the role of the Community Reinvestment Act (CRA) in the recent US housing boom-bust cycle. Using a difference-in-differences matching estimation, I find that the enhancement of CRA enforcement in 1998 caused a 7.7 percentage points increase in annual growth rate of mortgage lending by CRA-regulated banks to CRA-eligible census tracts relative to a group of similar-income CRA-ineligible census tracts within the same state. Financial institutions which are not subject to the CRA, however, do not show any change in their mortgage supply between these two types of census tracts after 1998. I take advantage of this exogenous shift in mortgage supply within an instrumental variable framework to identify the causal effect of mortgage supply on housing prices. I find that every 1 percentage point higher annual growth rate of mortgage supply leads to 0.3 percentage points higher annual growth rate of housing prices. Reduced form regressions show that CRA-eligible neighborhoods experienced higher house price growth during the boom and sharper decline during the bust period. I use placebo tests to confirm that this effect is in fact channeled through the shift in mortgage supply by CRA-regulated banks and not by unobserved demand factors. Furthermore, my results indicate that CRA-induced mortgages went to borrowers with lower FICO scores, carried higher interest rates, and encountered more frequent delinquencies.
The eurozone remains in a deep, largely macro-economic crisis. A robust global economy and falling oil prices have supported Europe’s economy for some time, but by now it is clear that the eurozone will only be able to pull itself out of this crisis by means of more decisive action. One response, the recent easing of monetary policy by the European Central Bank (ECB), has, for the most part, been sharply and one-sidedly criticised in Germany. Monetary policy inaction seems to be the preferred option of many in Germany.
The authors discuss the following question: What would happen if the ECB failed to respond to the excessively low inflation and the weak economy? And what economic policy would be suitable under the current circumstances, if not monetary policy?
We study whether the presence of low-latency traders (including high-frequency traders (HFTs)) in the pre-opening period contributes to market quality, defined by price discovery and liquidity provision, in the opening auction. We use a unique dataset from the Tokyo Stock Exchange (TSE) based on server-IDs and find that HFTs dynamically alter their presence in different stocks and on different days. In spite of the lack of immediate execution, about one quarter of HFTs participate in the pre-opening period, and contribute significantly to market quality in the pre-opening period, the opening auction that ensues and the continuous trading period. Their contribution is largely different from that of the other HFTs during the continuous period.
Non-bank (-balance sheet) based financial intermediation has become considerably more important over the last couple of decades. For the U.S., this trend has been discussed ever since the mid-1990s. As a consequence, traditional monetary transmission mechanisms, mainly operating through bank balance sheets, have apparently become less relevant. This in particular applies to the bank lending channel. Concurrently, recent theoretical and empirical work uncovered a "risk-taking channel" of monetary policy. This mechanism is not confined to traditional banks but has been found to operate also across the spectrum of financial intermediaries and intermediation devices, including securitization and collateralized lending/borrowing. In addition, recent empirical evidence suggests that the increasing importance of shadow-banking activities might have given rise to a so-called "waterbed effect". This is a mediating mechanisms, dampening or counteracting typically to be expected reactions to monetary policy impulses. Employing flow-of-funds data, we can document also for the Euro Area that a trend towards non-bank (not necessarily more 'market'-based) intermediation has occurred. This is, however, a fairly recent development, substantially weaker than in the U.S. Nonetheless, analyzing the response of Euro Area bank and nonbank financial intermediaries to monetary policy impulses, we find some notable behavioral differences between mainly deposit-funded and more 'market'-based financial intermediaries. We also detect, inter alia, the existence of a (still) fairly weak, but potentially policyrelevant, "waterbed" effect.
Households buy life insurance as part of their liquidity management. The option to surrender such a policy can serve as a buffer when a household faces a liquidity need. In this study, we investigate empirically which individual and household specific sociodemographic factors influence the surrender behavior of life insurance policyholders. Based on the Socio-Economic Panel (SOEP), an ongoing wide-ranging representative longitudinal study of around 11,000 private households in Germany, we construct a proxy to identify life insurance surrender in the data. We use this proxy to conduct fixed effect regressions and support the results with survival analyses. We find that life events that possibly impose a liquidity shock to the household, such as birth of a child and divorce increase the likelihood to surrender an existing life insurance policy for an average household in the panel. The acquisition of a dwelling and unemployment are further aspects that can foster life insurance surrender. Our results are robust with respect to different models and hold conditioning on region specific trends; they vary however for different age groups. Our analyses contribute to the existing literature supporting the emergency fund hypothesis. The findings obtained in this study can help life insurers and regulators to detect and understand industry specific challenges of the demographic change.
We introduce long-run investment productivity risk in a two-sector production economy to explain the joint behavior of macroeconomic quantities and asset prices. Long-run productivity risk in both sectors, for which we provide economic and empirical justification, acts as a substitute for shocks to the marginal efficiency of investments in explaining the equity premium and the stock return volatility differential between the consumption and the investment sector. Moreover, adding moderate wage rigidities allows the model to reproduce the empirically observed positive co-movement between consumption and investment growth.
In this paper I assess the effect of interest rate risk and longevity risk on the solvency position of a life insurer selling policies with minimum guaranteed rate of return, profit participation and annuitization option at maturity. The life insurer is assumed to be based in Germany and therefore subject to German regulation as well as to Solvency II regulation. The model features an existing back book of policies and an existing asset allocation calibrated on observed data, which are then projected forward under stochastic financial markets and stochastic mortality developments. Different scenarios are proposed, with particular focus on a prolonged period of low interest rates and strong reduction in mortality rates. Results suggest that interest rate risk is by far the greatest threat for life insurers, whereas longevity risk can be more easily mitigated and thereby is less detrimental. Introducing a dynamic demand for new policies, i.e. assuming that lower offered guarantees are less attractive to savers, show that a decreasing demand may even be beneficial for the insurer in a protracted period of low interest rates. Introducing stochastic annuitization rates, i.e. allowing for deviations from the expected annuitization rate, the solvency position of the life insurer worsen substantially. Also profitability strongly declines over time, casting doubts on the sustainability of traditional life business going forward with the low interest rate environment. In general, in the proposed framework it is possible to study the evolution over time of an existing book of policies when underlying financial market conditions and mortality developments drastically change. This feature could be of particular interest for regulatory and supervisory authorities within their financial stability mandate, who could better evaluate micro- and macro-prudential policy interventions in light of the persistent low interest rate environment.
Amid increasing regulation, structural changes of the market and Quantitative Easing as well as extremely low yields, concerns about the market liquidity of the Eurozone sovereign debt markets have been raised. We aim to quantify illiquidity risks, especially such related to liquidity dry-ups, and illiquidity spillover across maturities by examining the reaction to illiquidity shocks at high frequencies in two ways:
a) the regular response to shocks using a variance decomposition and,
b) the response to shocks in the extremes by detecting illiquidity shocks and modeling those as ultivariate Hawkes processes.
We find that:
a) market liquidity is more fragile and less predictable when an asset is very illiquid and,
b) the response to shocks in the extremes is structurally different from the regular response.
In 2015 long-term bonds are less liquid and the medium-term bonds are liquid, although we observe that in the extremes the medium-term bonds are increasingly driven by illiquidity spillover from the long-term titles.
Since the outbreak of the financial crisis, the macro-prudential policy paradigm has gained increasing prominence (Bank of England, 2009; Bernanke, 2011). The dynamics of this shift in the economic discourse, and the reasons this shift has not taken place prior to the crisis have not been addressed systemically. This paper investigates the evolution of the economic discourse on systemic risk and banking regulation to better understand these changes and their timing. Further, we use our sample to inquire whether, and if so, why the economic regulatory studies failed to recommend a reliable banking regulation prior to the crisis. By following a discourse analysis, we establish that the economic discourse on banking regulation has not been suitable for providing the knowledge basis required for a dynamically reliable banking regulation, and we identify the underlying reasons for such failure. These reasons include the obsession of economic discourse with optimization and particular forms of formalism, particularly, partial equilibrium analysis. Further, the economic discourse on banking regulation excludes historical and practitioners’ discourses and ignores weak signals. We point out that post-crisis, these epistemological failures of the economic discourse on banking regulation were not sufficiently recognized and that recent attempts to conceptualize systemic risk as a negative externality and to thus price it point to the persistence of formalism, equilibrium thinking and optimization, with their attending dangers.
We argue two alternative routes that lead entrepreneurial start-ups to acquisition outcomes instead of liquidation. On one hand, acquisitions can come about through the control route with external financers such as venture capitalists (VCs). VCs take control through their board seats along with other contractual rights that can bring about changes in a start-up necessary to successfully attract a strategic acquirer. Consistent with this view, we show that VCs often replace the founding entrepreneur as CEO long before an acquisition exit. On the other hand, acquisitions can come about through advice and support provided to the start-up, such as that provided by an incubator or technology park. Based on a sample of 251 Crunchbase companies in the U.S. over the years 2007 to 2014, we present evidence that is strongly consistent with these propositions. Further, we show that the data indicate a tension between VC-backing of start-ups resident in technology parks insofar as such start-ups are slower to become, and less likely to be, acquired.
his paper examines whether investor mood, driven by World Health Organization (WHO) alerts and media news on globally dangerous diseases, is priced in pharmaceutical companies' stocks in the United States. We concentrate on irrational investors who buy and sell pharmaceutical companies' stocks guided by beliefs as opposed to rational expectations. We argue that disease-related news (DRNs) should not trigger rational trading. We find that DRNs have a positive and significant sentiment effect among investors (on Wall Street). The effect is stronger (weaker) for small (large) companies, who are less (more) likely to engage in the development of new vaccines in the wake of DRNs. A potential negative mood (on Main Street) – induced by disease related fear – does not alter the positive sentiment effect. Our findings give rise to profitable trading strategies leading to significantly positive performances. Overall, this unparalleled research shows that large events of devastating nature to the economy can be considered as good news to some groups of interest, such as stock market traders.
This paper is the outcome of a related broader project, exploring the explanatory power of the Legal Theory of Finance, which proposes a new institution-based analytical framework for the analysis of phenomena of financial markets. One of its most important theoretical assumptions, the legal construction of financial markets, is highlighted by the example of the private creation of money by structured finance products in this paper. Further implications can then be shown referring to pari passu clauses and collective action clauses, which are both exhibit a differential application of these legal rules according to the hierarchical status of the respective market participant, and can therefore endanger sovereign debt restructurings. Legal instruments to avoid this are briefly explored. An example of another key role of the law in crisis that is the task to resolve the tension between market discipline and financial stability is exemplified by the regulation of the OTC derivatives market and proposals of effective loss-sharing among CCPs. Related questions about the significance of legal rules to ensure financial stability are raised in the analysis of minimum capital requirements under Basel III.
A number of contributions to research on monetary policy have suggested that policy should be asymmetric near the lower bound on nominal interest rates. As inflation and economic activity decline, policy should ease more aggressively than it would in the absence of the lower bound. As activity recovers and inflation picks up, the central bank should act to keep interest rates lower for longer than without the bound. In this note, we investigate to what extent the policy easing implemented by the ECB since summer 2013 mirrors the rate recommendations of a simple policy rule or deviates from it in a way that indicates a “lower for longer” approach to policy near zero interest rates.
Under ordinary circumstances, the fiscal implications of central bank policies tend to be seen as relatively minor and escape close scrutiny. The global financial crisis of 2008, however, demanded an extraordinary response by central banks which brought to light the immense power of central bank balance sheet policies as well as their major fiscal implications. Once the zero lower bound on interest rates is reached, expanding a central bank’s balance sheet becomes the central instrument for providing additional monetary policy accommodation. However, with interest rates near zero, the line separating fiscal and monetary policy is blurred. Furthermore, discretionary decisions associated with asset purchases and liquidity provision, as well as with lender-of-last-resort operations benefiting private entities, can have major distributional effects that are ordinarily associated with fiscal policy. In the euro area, discretionary central bank decisions can have immense distributional effects across member states. However, decisions of this nature are incompatible with the role of unelected officials in democratic societies. Drawing on the response to the crisis by the Federal Reserve and the ECB, this paper explores the tensions arising from central bank balance sheet policies and addresses pertinent questions about the governance and accountability of independent central banks in a democratic society.
Recently there has been an explosion of research on whether the equilibrium real interest rate has declined, an issue with significant implications for monetary policy. A common finding is that the rate has declined. In this paper we provide evidence that contradicts this finding. We show that the perceived decline may well be due to shifts in regulatory policy and monetary policy that have been omitted from the research. In developing the monetary policy implications, it is promising that much of the research approaches the policy problem through the framework of monetary policy rules, as uncertainty in the equilibrium real rate is not a reason to abandon rules in favor of discretion. But the results are still inconclusive and too uncertain to incorporate into policy rules in the ways that have been suggested.
Mis-selling by banks has occurred repeatedly in many nations over the last decade. While clients may benefit from competition – enabling them to choose financial services at lowest costs – economic frictions between banks and clients may give rise to mis-selling. Examples of mis-selling are mis-representation of information, overly complex product design and non-customized advice. European regulators address the problem of mis-selling in the "Markets in Financial Instruments Directive" (MiFID) I and II and the "Markets in Financial Instruments Regulation" (MiFIR), by setting behavioral requirements for banks, regulating the compensation of employees, and imposing re-quirements on offered financial products and disclosure rules.
This paper argues that MiFID II protects clients but is not as effective as it could be. (1) It does not differentiate between client groups with different levels of financial literacy. Effective advice requires different advice for different client groups. (2) MiFID II uses too many rules and too many instruments to achieve identical goals and thereby generates excessive compliance costs. High compliance costs and low revenues would drive banks out of some segments of retail business.