Previous studies report a robust positive relationship between cash endowments and asset prices in experimental asset markets. Higher cash endowments generally increase the proportion of riskless versus risky wealth at the individual and aggregate level as well as the capacity of market participants to seize investment opportunities, i.e., their transactional liquidity. In this study, we vary the size and composition of riskless endowments in order to analyze the impact of different types of “cash” on trading behavior in experimental asset markets with randomly fluctuating fundamental values. In all treatments except the baseline, we allow subjects to control the liquidity of their cash endowment endogenously by providing some proportion of their riskless endowment in a physical store of value, which can be converted into experimental currency for trading. We observe that most subjects retain a large proportion of their wealth in the physical store of value. Inconsistent with rational choice theory, average trading prices and trading volumes are lower when “cash” is provided in a convertible store of value rather than experimental currency. Surprisingly, the price effect manifests asymmetrically on the buy side but not the sell side. Moreover, we control for potential changes in risk appetite resulting from higher riskless endowments. Our results suggest that transactional liquidity not a risky demand shift drives the relationship between cash endowments and asset prices.

We use extreme value theory methods to infer conventionally unobservable connections between financial institutions from joint extreme movements in credit default swap spreads and equity returns. Estimated pairwise co-crash probabilities identify significant connections among up to 186 financial institutions prior to the crisis of 2007/2008. Financial institutions that were very central prior to the crisis were more likely to be bailed out during the crisis or receive the status of systemically important institutions. This result remains intact also after controlling for indicators of too-big-to-fail concerns, systemic, systematic, and idiosyncratic risks. Both credit default swap (CDS)-based and equity-based connections are significant predictors of bailouts. Supplementary materials for this article are available online.

This paper assesses the impact of legal trades by corporate insiders on the liquidity of the firm’s stock. For this purpose, we analyze two liquidity measures and one information asymmetry measure. The analysis allows us to study as well the effect of a change in insider trading regulation, namely the implementation of the Market Abuse Directive (European Union Directive 2003/6/EC) on the Dutch stock market. The first set of results shows that, in accordance with theories of asymmetric information, the intensity of legal insider trading in a given company is positively related to the bid-ask spread and to the information asymmetry measure. We also find that the Market Abuse Directive did not reduce significantly this effect. Secondly, analyzing liquidity and information asymmetry around the days of legal insider trading, we find that small and large capitalization stocks see their bid-ask spread and the permanent price impact increase when insiders trade. For mid-cap stocks, only the permanent price impact increases. Finally, we could not detect a significant improvement of these results following the change in regulation.

We offer a social-welfare comparison of the two most prominent default options – opt in and opt out – using a two-period model of localized competition. We demonstrate that when consumers stick to the default option, the prevailing default policy shapes firms' ability to collect and use customer information, and affects their pricing strategy and entry decision differently. The free-entry analysis reveals that fewer firms enter under opt out as competition becomes harsher, and that opt out is the socially preferred default option.

During takeover battles, a tender offer provides a call option right to the target’s shareholders: it guarantees the offered price but maintains the chance of a higher offer. We present an options-based approach to estimate the probability and expected value of higher competing takeover bids using target stock price data. Analysing Canadian takeover battles in the period 1997 to 2007 we find that during the 5 trading days prior to the occurrence of an increased takeover bid, the estimated probability of a higher bid exceeds 80% on average and the expected value of a potential competing bid almost matches the realized value.

In this article, we describe the results of a multiple case study on the indirect corporate innovation impact of climate change in the Central German chemical industry. We investigate the demands imposed on enterprises in this context as well as the sources, outcomes and determining factors in the innovative process at the corporate level. We argue that climate change drives corporate innovations through various channels. A main finding is that rising energy prices were a key driver for incremental energy efficiency innovations in the enterprises’ production processes. For product innovation, customer requests were a main driver, though often these requests are not directly related to climate issues. The introduction or extension of environmental and energy management systems as well as the certification of these are the most common forms of organizational innovations. For marketing purposes, the topic of climate change was hardly utilized so far. As the most important determinants for corporate climate innovations, corporate structure and flexibility of the product portfolio, political asymmetry regarding environmental regulation and governmental funding were identified.

While the long-run relation between money and inflation as predicted by the quantity theory is well established, empirical studies of the short-run adjustment process have been inconclusive at best. The literature regarding the validity of the quantity theory within a given economy is mixed. Previous research has found support for quantity theory within a given economy by combining the P-Star, the structural VAR and the monetary aggregation literature. However, these models lack precise modelling of the short-run dynamics by ignoring interest rates as the main policy instrument. Contrarily, most New Keynesian approaches, while excellently modeling the short-run dynamics transmitted through interest rates, ignore the role of money and thus the potential mid-and long-run effects of monetary policy. We propose a parsimonious and fairly unrestrictive econometric model that allows a detailed look into the dynamics of a monetary policy shock by accounting for changes in economic equilibria, such as potential output and money demand, in a framework that allows for both monetarist and New Keynesian transmission mechanisms, while also considering the Barnett critique. While we confirm most New Keynesian findings concerning the short-run dynamics, we also find strong evidence for a substantial role of the quantity of money for price movements.

While the long run relation between money and inflation is well established, empirical evidence on the adjustment to the long run equilibrium is very heterogeneous. In this paper we show, that the development of US consumer price inflation between 1960Q1 and 2005Q4 is strongly driven by money overhang. To this end, we use a multivariate state space framework that substantially expands the traditional vector error correction approach. This approach allows us to estimate the persistent components of velocity and GDP. A sign restriction approach is subsequently used to identify the structural shocks to the signal equations of the state space model, that explain money growth, inflation and GDP growth. We also account for the possibility that measurement error exhibited by simple-sum monetary aggregates causes the consequences of monetary shocks to be improperly identified by using a Divisia monetary aggregate. Our findings suggest that when the money is measured using a reputable index number, the quantity theory holds for the United States.

We use a compound option-based structural credit risk model to estimate banking crisis risk for the United States based on market data on bank stocks on a daily frequency. We contribute to the literature by providing separate information on short-term, long-term and total crisis risk instead of a single-maturity risk measure usually inferred by Merton-type models or barrier models. We estimate the model by applying the Duan (1994) maximum-likelihood approach. A strongly increasing total crisis risk estimated from early July 2007 onwards is driven mainly by short-term crisis risk. Banks that defaulted or were overtaken during the crisis have a considerably higher crisis risk (especially higher long-term risk) than banks that survived the crisis.

I show that the price discounts of Chinese cross-listed stocks (American Depositary Receipts (ADRs) and H-shares) to their underlying A-shares indicate the expected yuan/US dollar exchange rate. The forecasting models reveal that ADR and H-share discounts predict exchange rate changes more accurately than the random walk and forward exchange rates, particularly at long forecast horizons. Using panel estimations, I find that ADR and H-share investors form their exchange rate expectations according to standard exchange rate theories such as the Harrod–Balassa–Samuelson effect, the risk of competitive devaluations, relative purchasing power parity, uncovered interest rate parity, and the risk of currency crisis.