Demography as a forecasting tool

The European population is rapidly ageing. This implies changing economic and social relations between the generations. In turn this precipitates economic change. In particular the welfare bill in the future needs to be paid for more dependants by a smaller working population. This fundamental shift also changes the conditions for productivity growth, trade and even monetary policy. Using demographic projections to forecast these changes and integrate them into futures scenarios contributes to realism in the futures envisioned. Demographic processes can be influenced by policy, but the feedback is slow. This ensures the usefulness of demographic forecasting but it also implies that policy decisions need to be taken well in advance of the problems that ageing will cause. At horizons beyond 10–20 years there are ample opportunity to adapt the society to avoid unacceptable scenarios. Before that the scope for action is much less and much more constrained. The inertia of the demographic structure is such that it is hard and probably costly to turn unwanted trends caused by unbalanced age structures. For example, a likely consequence of the developing scarcity of labour in Europe is that the demand for education goes down in spite of the desirability for society to expand higher education.     

Dynamic analysis of stock return volatility in an integrated international capital market

This paper examines the dynamic behavior of the stock return volatility for Canada, Japan, Germany, and the United Kingdom. The evidence indicates that international stock return volatility is mainly influenced by the U.S. stock return volatility and the exchange rate volatility, supporting the international capital market integration hypothesis. There seems to be some correlation between stock return volatility and macroeconomic volatility, but the effect is relatively weaker. In addition to the economic fundamentals, the noise component is found to be time varying, confirming the AR(MA)CH specifications in the stock return models.     

Voluntary disclosure and information asymmetry in Denmark

This paper examines if the level of voluntary disclosure affects information asymmetry for industrial companies listed on the Copenhagen Stock Exchange. Economic theory suggests that disclosing more information should lower the information asymmetry component of a firm's cost of capital [Leuz, C., & Verrecchia, R. E. (2000)]. The results indicate that voluntary disclosure is negatively associated with proxies for information asymmetry. The results are robust even after controlling for various firm characteristics introduced in related literature. Despite differences in institutional settings the findings in our paper are similar to the ones based on US data.     

Competition and cooperation among exchanges: A theory of cross-listing and endogenous listing standards

We analyze firms’ choice of exchange to list equity and exchanges’ choice of listing standards when insiders have private information about firm value, but outsiders can produce (noisy) information at a cost. Exchanges are populated by two kinds of investors, whose numbers vary across exchanges: sophisticated (low information production cost) investors and ordinary (high–cost) investors. While firms are short-lived, exchanges are long-lived, value-maximizing agents whose listing and disclosure standards evolve over time. The listing standards chosen by exchanges affect their “reputation,” since outsiders can partially infer the rigor of these standards from the post-listing performance of firms. We show that, while exchanges use their listing standards as a tool in competing for listings with other exchanges, this will not necessarily lead to a “race to the bottom” in listing standards. Further, a merger between two exchanges may result in a higher listing standard for the combined exchange relative to that of either of the merging exchanges. We develop several other implications for firms’ listing choices and resulting valuation effects, the impact of competition and co-operation among exchanges on listing standards, and the optimal regulation of exchanges.     

Trading Costs in Early Securities Markets: The Case of the Berlin Stock Exchange 1880-1910

Based on daily prices (amtliche Kurse) we estimate effective spreads of securities traded at the Berlin Stock Exchange in 1880, 1890, 1900 and 1910. Several extensions of the Roll measure are applied. We find surprisingly tight effective spreads for the historical data, comparable with similar measures of the MDAX and DAX at the end of the 20th century.     

Testing for Vertical Fiscal Externalities

The purpose of this paper is to design a test of whether the vertical external effects associated with tax base sharing among local and regional governments have become internalized via the intergovernmental transfer system. Such tests are important in the sense that the income tax rates chosen by different levels of government will generally be correlated, even if the resource allocation is optimal from society's point of view. By using panel data for the Swedish local and regional public sectors, the results imply that an increase in the regional income tax rate induces the municipalities in the region to decrease their income tax rates. In addition, we are able to reject the null hypothesis that the vertical external effects have become internalized.     

Learning minimum variance discrete hedging directly from the market

Option hedging is a critical risk management problem in finance. In the Black–Scholes model, it has been recognized that computing a hedging position from the sensitivity of the calibrated model option value function is inadequate in minimizing variance of the option hedge risk, as it fails to capture the model parameter dependence on the underlying price (see e.g. Coleman et al., J. Risk, 2001, 5(6), 63–89; Hull and White, J. Bank. Finance, 2017, 82, 180–190). In this paper, we demonstrate that this issue can exist generally when determining hedging position from the sensitivity of the option function, either calibrated from a parametric model from current option prices or estimated nonparametricaly from historical option prices. Consequently, the sensitivity of the estimated model option function typically does not minimize variance of the hedge risk, even instantaneously. We propose a data-driven approach to directly learn a hedging function from the market data by minimizing variance of the local hedge risk. Using the S&P 500 index daily option data for more than a decade ending in August 2015, we show that the proposed method outperforms the parametric minimum variance hedging method proposed in Hull and White [J. Bank. Finance, 2017, 82, 180–190], as well as minimum variance hedging corrective techniques based on stochastic volatility or local volatility models. Furthermore, we show that the proposed approach achieves significant gain over the implied BS delta hedging for weekly and monthly hedging.     

From standard to evolutionary finance: a literature survey

Management Review Quarterly - The traditional financial paradigm seeks to understand financial markets by using models in which markets are perfect, which includes agents who are...