STOCK PRICES AND EXCESSIVE VOLATILITY: SOME EVIDENCE FOR THE FT ORDINARY SHARE INDEX

In this paper the efficiency of the UK stock market is examined using the FT Ordinary share price and dividend indices for the period January 1947 to June 1987. In particular, we examine the validity of the present value model of stock prices using a vector error correction model (VECM). Amongst the findings reported in the paper are that stock prices and dividends are cointegrated and the cross-equation restrictions imposed on the VECM are strongly rejected.     

ON ESTIMATING STOCK MARKET VOLATILITY: AN EXPLORATORY APPROACH

Traditional methods of estimating market volatility use daily return observations from a stock index to calculate monthly variance. We break with tradition and estimate stock market volatility using the daily, cross-sectional standard deviation of returns for all firms trading on the New York Stock Exchange and the American Stock Exchange. We find a significantly positive relation between risk and return. Market volatility is estimated to be about half the volatility level previously reported. The intraday, cross-sectional market volatility measure provides findings consistent with risk-return theory.     

Identity, appropriateness and the construction of regulatory space: the formation of the Public Accountant's Council of Ontario

Practice rights legislation in Canada continues to be contested 50 years after its first enactment. In Ontario, one of the earliest provinces to enact restrictive legislation, the challenges have focused on how the legislation has been implemented rather than on whether or not public accounting should be regulated. To better understand the contested issues in this field, we examine the process undertaken by the Public Accountants Council of Ontario to implement the Public Accountancy Act of 1950. Our analysis is based on the first 15 years of the minutes of the meetings of the Public Accountants Council for Ontario, augmented by other archival sources such as court cases, newspaper clippings, correspondence and reports. Our intent is to document the process and “logic of appropriateness” used by the Council to construct its identity and stake out its “regulatory space” in the face of the ambiguity of the law and pressure from interest groups. We also identify the contradictions that were institutionalized in this field resulting in repeated challenges to the Council. We conclude by relating the historical insights from this analysis to the continuing challenges to practice rights legislation in Ontario.     

Catching up: The role of demand, supply and regulated price effects on the real exchange rates of four accession countries

The main aim of this paper is to examine the exchange rate behaviour of a group of four transitional, EU accession countries, with a view to making policy recommendations regarding their full accession to the European Monetary Union. We employ a dynamic OLS panel estimator to investigate the relative importance of demand and supply influences on the exchange rates of these countries. Our analysis shows that both supply‐ and demand‐side effects are important for the accession countries, although their overall effect on inflation differentials and competitiveness seems to be small. An additional focus of the paper is the examination of the role that administrated, or regulated, prices and the productivity of the distribution sector play in the real exchange rate dynamics. Using a unique database we show that administrative prices have been a powerful force behind price and real exchange developments for our group of accession countries. The distribution sector is shown to have an independent effect on the internal price ratio over and above that generated by the Balassa–Samuelson effect.     

Numerical Maximisation of Likelihood: A Neglected Alternative to EM?

There is by now a long tradition of using the EM algorithm to find maximum‐likelihood estimates (MLEs) when the data are incomplete in any of a wide range of ways, even when the observed‐data likelihood can easily be evaluated and numerical maximisation of that likelihood is available as a conceptually simple route to the MLEs. It is rare in the literature to see numerical maximisation employed if EM is possible. But with excellent general‐purpose numerical optimisers now available free, there is no longer any reason, as a matter of course, to avoid direct numerical maximisation of likelihood. In this tutorial, I present seven examples of models in which numerical maximisation of likelihood appears to have some advantages over the use of EM as a route to MLEs. The mathematical and coding effort is minimal, as there is no need to derive and code the E and M steps, only a likelihood evaluator. In all the examples, the unconstrained optimiser nlm available in R is used, and transformations are used to impose constraints on parameters. I suggest therefore that the following question be asked of proposed new applications of EM: Can the MLEs be found more simply and directly by using a general‐purpose numerical optimiser?     

Do Institutions Matter for Foreign Direct Investment?

Using a panel of 69 countries during 1981 and 2005, we investigate the role of institutions in determining foreign direct investment (FDI). We find that institutions are a robust predictor of FDI and that the most significant institutional aspects are linked to propriety rights. Using a novel data set, we also study the impact of institutions on FDI at the sectoral level. We find that institutions do not have a significant impact on FDI in the primary sector but that institutional quality matters for FDI in manufacturing, and particularly in services.     

Disaggregate Real Exchange Rate Behaviour

In this paper, we re-examine the “PPP Puzzle” using sectoral disaggregated data. Specifically, we first analyse the mean reversion speeds of real exchange rates for a number of different sectors in 11 industrial economies and then focus on relating these rates to variables identified in the literature as key determinants of CPI-based real exchange rates, namely: the trade balance, productivity and the mark up. In particular, we seek to understand to what extent the relationships existing at the aggregate level are borne out at the disaggregate level. We believe that this analysis can help shed light on the PPP puzzle.

An Out-of-Sample Analysis of Investment Guarantees for Equity-Linked Products

Abstract

In this paper we analyze the risk underlying investment guarantees using 78 different econometric models: GARCH, regime-switching, mixtures, and combinations of these approaches. This extensive set of models is compared with returns observed during the financial crisis in an out-of-sample analysis, bringing a new perspective to the study of equity-linked insurance. We find that despite the very good fit of recent models, too few of them are capable of consistently generating low returns over long periods, which were in fact observed empirically during the financial crisis. Moreover, tail risk measures vary significantly across models, and this emphasizes the importance of model risk. Most insurance companies are now focusing on dynamically hedging their investment guarantees, and so we also investigate the robustness of the Black-Scholes delta hedging strategy. We find that hedging errors can be very large among the top fitting models, implying that model risk must be taken into consideration when hedging investment guarantees.     

The Impact of DC Pension Systems on Population Dynamics

Abstract

This study investigates the risk inherent in defined contribution (DC) pension plans on an individual and aggregate basis, based on U.S. data. Our aim is to gain insight into the consequences of a DC pension scheme becoming the predominant pillar of retirement income for an entire society. Using the stochastic simulated output of a DC flexible age-of-retirement model, we first determine the optimal investment strategies. We then examine the demographic retirement dynamics of an entire population of DC pension plan participants.

We observe that even for the most risk-averse plan members there is a high level of uncertainty in an individual’s age at retirement. At the aggregate population level, we find that this uncertainty does not get dampened to any great extent by a diversification effect. Instead, the central role played by the market in determining retirement dates results in significant variation in the dependency ratio (the ratio of retirees to workers) over time. In addition, an attempt to ameliorate the outcome by introducing additional realistic features in the DC population modeling did little to dampen this volatility, which suggests that countries dominated by DC schemes of this type may, over time, be exposed to significant risk in the size of its labor force.