Long memory in the U.S. interest rate

In this article, we examine the order of integration of the U.S. long-term interest rate by means of using fractionally integrated techniques. Using annual data for the time period 1940-2000, the results based on the univariate tests of Robinson [Journal of American Statistical Association 84 (1994) 1420] support the hypothesis of a unit root. However, using a much longer span of the data (1798-2000), the order of integration seems to be smaller than one if the disturbances are white noise, while the unit root cannot be rejected if they are weakly autocorrelated.     

Long memory in the high frequency cryptocurrency markets using fractal connectivity analysis: The impact of COVID-19

In this paper, we study the long memory behavior of the hourly cryptocurrency returns during the COVID-19 pandemic period. Initially, we apply different tests against the spurious long memory, with the results indicating the presence of true long memory for most cryptocurrencies. Yet, using the multivariate test, the series are found to be contaminated by level shifts or smooth trends. Then, we adopt the wavelet-based multivariate long memory approach suggested by Achard and Gannaz (2016) to model their long memory connectivity. The findings indicate a change in persistence for all series during the sample period. The fractal connectivity clustering indicates a similarity among Ethereum (ETH) and Litecoin (LTC), Monero (XMR), Bitcoin (BTC), and EOC token (EOS), while Stellar (XLM) is clustered away from the remaining series, indicating the absence of any interdependence with other crypto returns. Overall, shocks arising from COVID-19 crisis have led to changes in long-run correlation structure.     

Existence of long memory in crude oil and petroleum products: Generalised Hurst exponent approach

This study examines the presence of long-run dependence in a variety of crude and refined energy spot markets during the 1986–2018 period using the time-varying generalised Hurst exponent. Our results indicate that the weak-form efficiency in energy spot markets is clearly time-varying, with USGC(U.S. Gulf Coast Conventional Gasoline) Diesel Fuel the most efficient and Propane the least. An important finding is that after the subprime crisis, the persistence of energy spot market products has increased. Overall, our finding highlights that the time-varying model is preferable to the time-constant one since the former can capture time-varying efficiency, which heavily depends on a country’s predominant economic and political conditions.     

Economic policy uncertainty: Persistence and cross-country linkages

This paper provides new evidence on the stochastic behaviour of the EPU (Economic Policy Uncertainty (EPU) index constructed by Baker et al. (2016) in six of the biggest economies (Canada, France, Japan, US, Ireland, and Sweden), and also on cross-country linkages, over the period from January 1985 to October 2019. For this purpose, it uses fractional integration/cointegration methods to measure the degree of persistence of the EPU and whether there exists a long-run equilibrium relationship linking the individual indices. This framework is much more general than the standard approaches based on the I(0)/I(1) dichotomy since it allows for fractional values of the integration/cointegration parameter and therefore does not impose restrictive assumptions on the dynamic behaviour of the individual series and their linkages. EPU is found to be in most cases a non-stationary, mean-reverting series which is characterised by long memory. Several breaks are also detected in each country. Finally, there is very little evidence of cross-country linkages. Our analysis provides fresh insights into the degree of persistence and the transmission of EPU shocks and has implications both for investors having to make risk management decisions and choose investment strategies and policymakers having to design effective macroeconomic policies.     

Empirical evidence on the use, size and cost of executive options schemes in Australia

In this paper we provide an overview of empirical data relating to the use, scale and cost of executive options schemes in Australia. Our data is based on a sample of 100 large listed Australian corporations. Our data suggests that approximately 80% of large listed corporations in Australia presently employ executive options schemes, but that the size and cost of these schemes reduced significantly after 2000. We argue that this reflects the impact of increased public scrutiny over options schemes and the impending move in Australia towards a financial reporting regime in which treating the cost of options as an expense for the purposes of calculating annual profit and loss is mandatory.     

Say-on-pay judgements: the two-strikes rule and the pay-performance link

We undertake an experiment to explore shareholder voting behaviour when the pay-performance link is weak or strong; and when there has (has not) been a first strike in the preceding year. We find shareholders are more supportive of a remuneration package evidencing a strong pay-performance link than a weak link. Further, shareholders are less supportive of a remuneration package when there has been a first strike in the preceding year than when there has not been a first strike. Importantly, we find that a first strike reduces the effect of the pay-performance link on voting intentions.     

商业银行管理层股票期权激励:特征及其影响因素——基于美国银行业的实证研究

本文以1996～2005年间美国43家代表性商业银行和98家制造业企业为样本,实证分析了商业银行管理层股票期权补偿激励的特征和影响因素。结果表明:商业银行管理层股票期权补偿占总报酬补偿比例的变化呈现出先升后降的倒U型趋势,商业银行管理层股票期权补偿占总报酬补偿的比例显著地低于制造业的这一比例;管理层股票期权补偿与商业银行成长机会、外部董事比例存在着显著的正相关关系,而与杠杆比率呈显著负相关;资产规模、管理层股票补偿对股票期权补偿水平的影响为负,但不显著;行业管制与管理层股票期权补偿费用的会计处理方法对银行业股票期权补偿有显著的影响。     

An investigation of the short‐ and long‐run relations between executive cash bonus payments and firm financial performance: a pitch

This letter is a discussion of the application of the pitch template developed by Faff (2015) to a financial accounting research topic. The pitch template focuses ideas into key areas, giving clear and concise direction in planning and structuring the research idea. In this instance, the template is used in a nonlinear manner to develop a research proposal to investigate the relation between cash bonus payments and firm financial performance.     

Capturing volatility persistence: a dynamically complete realized EGARCH-MIDAS model

We introduce extensions of the Realized Exponential GARCH model (REGARCH) that capture the evident high persistence typically observed in measures of financial market volatility in a tractable fashion. The extensions decompose conditional variance into a short-term and a long-term component. The latter utilizes mixed-data sampling or a heterogeneous autoregressive structure, avoiding parameter proliferation otherwise incurred by using the classical ARMA structures embedded in the REGARCH. The proposed models are dynamically complete, facilitating multi-period forecasting. A thorough empirical investigation with an exchange-traded fund that tracks the S&P500 Index and 20 individual stocks shows that our models better capture the dependency structure of volatility. This leads to substantial improvements in empirical fit and predictive ability at both short and long horizons relative to the original REGARCH. A volatility-timing trading strategy shows that capturing volatility persistence yields substantial utility gains for a mean–variance investor at longer investment horizons.     

Price discovery in the U.S. stock and stock options markets: A portfolio approach

Option prices vary with not only the underlying asset price, but also volatilities and higher moments. In this paper, we use a portfolio of options to seclude the value change of the portfolio from the impact of volatility and higher moments. We apply this portfolio approach to the price discovery analysis in the U.S. stock and stock options markets. We find that the price discovery on the directional movement of the stock price mainly occurs in the stock market, more so now than before as an increasing proportion of options market makers adopt automated quoting algorithms. Nevertheless, the options market becomes more informative during periods of significant options trading activities. The informativeness of the options quotes increases further when the options trading activity generates net sell or buy pressure on the underlying stock price, even more so when the pressure is consistent with deviations between the stock and the options market quotes. JEL Classification C52, G10, G13, G14     

Volatility dynamics of crypto-currencies’ returns: Evidence from asymmetric and long memory GARCH models

The objective of this paper is to select the most optimum model or set of models useful for modeling sixteen of the most popular crypto-currencies associated volatility. Five GARCH models, with different error distributions, are fitted to each of these crypto-currencies. The most effectively fit model or superior set of models is then selected through maximizing the likelihood and minimizing the AIC and BIC information criteria. The reached results prove that the majority of crypto-currencies turn out to be rather effectively modulated via the TGARCH with double exponential distribution. Indeed, the attained findings report an asymmetric effect whereby volatility turns out to increase rather by response to positive shocks than by response to negative shocks, implying an asymmetric effect that differs from that generally observed in stock markets. The increase in volatility, as emanating in response to positive shocks may well have its justification in the uninformed investors’ undertaken herding strategies.     

Taxation and executive compensation: Evidence from stock options

Understanding the effects of taxes on executive compensation provides insight into the process determining this compensation and is a key input to top income tax rate policy. A 2010 tax reform in Canada, which greatly increased the effective tax rate on stock option compensation for a subset of firms, provides a natural experiment with which to address this issue. Difference-in-differences estimates suggest that this tax increase resulted in an immediate reduction in both stock option grants and the fraction of total compensation made up of stock options with limited, if any, substitution towards other components of compensation.     

Shareholder voting in mergers and acquisitions: evidence from the UK

This paper examines the determinants and consequences of shareholder voting on mergers and acquisitions using a sample of resolutions approved by shareholders of UK publicly listed firms from 1997 to 2015. We find that dissent on M&A resolutions is negatively related to bidder announcement returns and positively related to shareholders’ general dissatisfaction towards the management. Shareholder dissent is an important predictor of the announcement returns of subsequent M&A deals. We also report an increase in shareholder dissent after the 2007–2008 financial crisis.     

Valuing executive stock options: performance hurdles, early exercise and stochastic volatility

Accounting standards require companies to assess the fair value of any stock options granted to executives and employees. We develop a model for accurately valuing executive and employee stock options, focusing on performance hurdles, early exercise and uncertain volatility. We apply the model in two case studies and show that properly computed fair values can be significantly lower than traditional Black–Scholes values. We then explore the implications for pay-for-performance sensitivity and the design of effective share-based incentive schemes. We find that performance hurdles can require a much greater fraction of total compensation to be a fixed salary, if pre-existing incentive levels are to be maintained.     

Dividend payout and executive compensation: theory and evidence from New Zealand

Using a model based on Bhattacharyya (2007), we predict a positive (negative) relationship between the earnings retention ratio (dividend payout ratio) and managerial compensation. We use tobit regression to analyse data for New Zealand firms' dividend payouts over the period 1997–2015 and find results consistent with Bhattacharyya (2007). These results hold when the definition of payout is modified to incorporate both common dividends and common share repurchases. Our results indicate that corporate dividend policy among New Zealand firms is perhaps best understood by considering the dividend payout ratio, rather than the level of, or changes in, cash dividends alone.     

Executive incentives and payout policy: Empirical evidence from Europe

We investigate how corporate payout policy is influenced by executive incentives, i.e. stock and option holdings, stock option deltas and stock-based pay-performance sensitivity for 1,650 publicly listed firms from the UK, Germany, France, Italy, the Netherlands and Spain, over the period from 2002 to 2009. Our results show that executive stock option holdings and stock option deltas are associated with lower dividend payments in our sample of European countries, where we do not observe any presence of dividend protection for executive stock options. We find that this relationship is mainly driven by exercisable stock options and by options that are in the money. Additionally, we observe that executive stock option holdings and stock option deltas have a negative impact on total payout, suggesting that executives do not substitute share repurchases for dividends. Furthermore, the fraction of share repurchases in total payout increases as executive stock option holdings and stock option deltas increase. Finally, our results show that executive share ownership and stock-based pay-performance sensitivity may mitigate agency conflicts by significantly increasing the level of total payout.     

Structural change and long-range dependence in volatility of exchange rates: either, neither or both?

In this paper, we test for the existence of long memory and structural breaks in the realized variance process for the DM/US$ and Yen/US$ exchange rates. While long memory is evident in the actual processes, a structural break analysis reveals that this feature is partially explained by unaccounted changes in regime. We then compare the forecasting performance of Markov switching models with that of an ARFIMA model. The results indicate that neglecting the break process is not important for very short term forecasting once it is allowed for a long memory component in the model, but that superior forecasts can be obtained at longer horizons by modelling both long memory and structural change.     

Dividend payout and executive compensation: theory and evidence

Bhattacharyya (2007 ) develops a model in which compensation contracts motivate high‐quality managers to retain and invest firm earnings, while low‐quality managers are motivated to distribute income to shareholders. In equilibrium, the model shows that there is a positive (negative) relationship between the earnings retention ratio (dividend payout ratio) and managerial compensation. Results of tests of US data show that executive compensation is positively (negatively) associated with earnings retention (dividend payout). Our results indicate that corporate dividend policy is perhaps best understood by considering the payout ratio (dividends divided by earnings), rather than the level of cash dividends alone.     

Combining long memory and level shifts in modelling and forecasting the volatility of asset returns

We propose a parametric state space model of asset return volatility with an accompanying estimation and forecasting framework that allows for ARFIMA dynamics, random level shifts and measurement errors. The Kalman filter is used to construct the state-augmented likelihood function and subsequently to generate forecasts, which are mean and path-corrected. We apply our model to eight daily volatility series constructed from both high-frequency and daily returns. Full sample parameter estimates reveal that random level shifts are present in all series. Genuine long memory is present in most high-frequency measures of volatility, whereas there is little remaining dynamics in the volatility measures constructed using daily returns. From extensive forecast evaluations, we find that our ARFIMA model with random level shifts consistently belongs to the 10% Model Confidence Set across a variety of forecast horizons, asset classes and volatility measures. The gains in forecast accuracy can be very pronounced, especially at longer horizons.