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This study explores the Granger causal relationship between return and volume in the KOSPI200 spot and option markets for the period from December 13. 2002 to December 9. 2004. using minute-by-minute data. Specifically, we examine the lead-lag relationship among OPtion volume, option return, cash volume, and cash return to determine whether option volume and return impact cash return.

Our results show that option volume has no direct impact on cash return as cash return unilaterally leads option volume‘ While option volume impacts cash volume. cash return unilaterally leads cash volume. implying no indirect impact of option volume on cash return.

However, there is evidence that option return impacts cash return directly, given a bilateral causality between option return and casll return. Option return also impacts cash volume, but again cash volume has no impact on cash return. meaning no indirect impact of option return on cash return. Our findings were generally robust across days of the week and different maturities. Finally, we analyzed lead-lag relationship within the option market. and found a bilateral causality between option volume and option return. This implies that option volume may impact cash return indirectly via option return.

Many health-care professionals leave clinical practice temporarily or permanently. Interventions designed to facilitate the return of health-care professionals fail to consider returners’ psychosocial needs despite their importance for patient care. This study aims to evaluate the efficacy of a psychoeducational intervention in improving personal skills and well-being among UK-based health-care professionals returning to clinical practice.

In total, 20 health-care professionals took part in the one-day intervention and completed measures of demographics, self-efficacy, positive attitudes towards work and perceived job resources before and after the intervention. A baseline comparison group of 18 health-care professionals was also recruited.

Significant associations were detected between return-to-work stage and study group. Following the intervention, participants reported improvements in self-efficacy and, generally, perceived more job resources, whereas positive attitudes towards work decreased. While none of these changes were significant, the intervention was deemed acceptable by participants. This study provides modest but promising evidence for the role of psychoeducation as a tool in supporting the psychosocial needs of returning health-care professionals.

Additional research is needed to clarify the reliability of intervention effects, its effectiveness compared to alternative interventions, and the impact across different subgroups of returning health-care professionals.

Return-to-practice interventions should address the psychosocial needs of health-care professionals in terms of their personal skills and well-being. Psychoeducation can increase self-efficacy and perceptions of job resources among returning health-care professionals.

This study sheds light on a relatively understudied, but fundamental area – the psychosocial challenges of health-care professionals returning to clinical practice – and further justifies the need for tailored interventions.

Using the next-day and next-week returns of stocks in the Korean market, we examine the association of option volume ratios – i.e. the option-to-stock (O/S) ratio, which is the total volume of put options and call options scaled by total underlying equity volume, and the put-call (P/C) ratio, which is the put volume scaled by total put and call volume – with future returns. We find that O/S ratios are positively related to future returns, but P/C ratios have no significant association with returns. We calculate individual, institutional, and foreign investors’ option ratios to determine which ratios are significantly related to future returns and find that, for all investors, higher O/S ratios predict higher future returns. The predictability of P/C depends on the investors: institutional and individual investors’ P/C ratios are not related to returns, but foreign P/C predicts negative next-day returns. For net-buying O/S ratios, institutional net-buying put-to-stock ratios consistently predict negative future returns. Institutions’ buying and selling put ratios also predict returns. In short, institutional put-to-share ratios predict future returns when we use various option ratios, but individual option ratios do not.

The paper aims to investigate the monthly and trading month effects in the stock market returns of the ASE using daily data before and after the crisis of 1999‐2001. In addition, the study seeks to consider data from both periods of the ASE, before and after the upgrade of the market (May 2001).

This paper examines the calendar effects in the Greek stock market returns using an ordinary least squares (OLS) model. Daily closing prices of the General ASE Index, FTSE/ASE‐20 and FTSE/ASE Mid 40 are used to calculate daily returns. The time period includes data from 26 November 1996 to 12 July 2002 for General ASE Index, 23 September 1997‐30 August 2001 for FTSE/ASE‐20 and 8 December 1999‐30 August 2001 for FTSE/ASE Mid 40.

The results show that there is no January effect. In other words, daily returns are not higher in January than in any other month. Moreover, the results for the trading month effect show higher (but not significant) returns over the first fortnight of the month.

The results have important implications for both traders and investors. The findings are strongly recommended to financial managers dealing with Greek stock indices.

The contribution of this paper is to provide evidence using data before and after the financial crisis of 1999‐2001 in Greece.

This paper investigates the generalized Fisher hypothesis for nine equity markets in the Asian countries. It states that the real rates of return on common stocks and the expected inflation rate are independent and that nominal stock returns vary in a one‐to‐one correspondence with the expected inflation rate. The regression results indicate that stock returns in general are negatively correlated to both expected and unexpected inflation, and that common stocks provide a poor hedge against inflation. However, the results of the VAR model indicate the lack of a unidirectional causality between stock returns and inflation. It also fails to find a consistent negative response neither of inflation to shocks in stock returns nor of stock returns to shocks in inflation in all countries. It appears that the generalized Fisher hypothesis in the Asian markets is as puzzling as in the developed markets.

Though stock portfolio return autocorrelation is well documented in the literature, its cause is still not clearly understood. Presently, evidence of private information induced stock return autocorrelation is still very limited. The difficulty in obtaining foreign country information by small investors makes the private information of institutional investors in the ADR (American Depository Receipt) market more significant and influential. As such, the ADR market provides a favorable environment for testing the effect of private information on return autocorrelation. The purpose of this paper is to address this issue.

In this paper, ADRs are sorted annually into three groups based on market equity capitalization. Within each capitalization group, ADRs are further sorted into three groups based on the fraction of shares held by institutional investors. Each ADR is assigned to one of the nine groups and group membership is rebalanced each year. The return autocorrelation of individual ADR securities and ADR portfolios for each group are then calculated.

The results demonstrate that ADR individual stock and portfolio daily return autocorrelations are positively related to institutional ownership. It is also found that other explanations, such as non‐synchronous trading, bid‐ask spread and volatility of ADR, cannot explain the positive relation between daily return autocorrelations and institutional ownership of ADR.

Since ADR market is more suitable than other markets for testing the role of private information, stronger and clearer results are got accordingly. This paper suggests that trading strategy based on private information of institutional investors can lead to stock return autocorrelation in ADR daily returns.

The purpose of this paper is to examine the relation between gold return and stock market return and whether its relation changes in times of consecutive negative market returns for an emerging market, Malaysia.

The paper applies the autoregressive distributed model to link gold returns to stock returns with TGARCH/EGARCH error specification using daily data from August 1, 2001 to March 31, 2010, a total of 2,261 observations.

A significant positive but low correlation is found between gold and once‐lagged stock returns. Moreover, consecutive negative market returns do not seem to intensify the co‐movement between the gold and stock markets as normally documented among national stock markets in times of financial turbulences. Indeed, there is some evidence that the gold market surges when faced with consecutive market declines.

Based on these results, there are potential benefits of gold investment during periods of stock market slumps. The findings should prove useful for designing financial investment portfolios.

The paper evaluates the role of gold from a domestic perspective, which should be more relevant to domestic investors in guarding against recurring heightened stock market risk.

Existing empirical studies that document momentum trading strategies do not provide any insight on how investors choose the time horizon that is used to compute the past stock returns. Indeed, since past returns over overlapping time periods are positively correlated, it is hard to identify the exact historical time period on which investors base their trading strategies and to investigate whether such a period is unique. The purpose of this paper is to investigate this and reach some conclusions.

In this paper the author uses experimental setting to analyze how investors choose which of the past returns to use as a basis for their trading strategies and whether this choice depends on their investment horizon. The advantage of this experimental setting over the existing empirical research is the ability to control for the investment horizon of the subjects and the ability to provide the subjects with a hand‐picked set of stocks with uncorrelated past returns over overlapping time periods. In the study subjects were asked to make short‐term investment decisions based on historical short‐term realized returns over two time intervals of different lengths. In each treatment the subjects were divided into two groups based on the lengths of their investment horizons, which were set to match the lengths of time intervals used to compute the historical returns.

It was found that subjects followed momentum trading strategies based on both historical returns provided to them and paid more attention to the historical returns over the shorter time period. In addition, some evidence was found that subjects with longer investment horizons rely less on momentum strategies.

A wide sample was used to create an original set of observations and conclusions.

This paper aims to gain exposure to Australian real estate investment trusts (A‐REITs). Many institutional investors make use of securitised property funds as they employ experienced property professionals with specialist knowledge of underlying property fundamentals, direct property markets and the 30‐plus A‐REITs. As securitised property funds operate in a competitive environment, investment performance benchmarks are important.

To add to the familiar risk and return benchmarks, the risk adjusted performance (RAP) measure first outlined by Modigliani and Modigliani provides an additional and valuable return measure to a definite level of risk. This research selected 16 wholesale securitised property funds each with seven years of continuous quarterly total return data.

Overall a large proportion of the selected funds (14 out of 16), on average, outperformed the market benchmark return (14.53 per cent) with the worst fund marginally under‐performing the index by 0.54 per cent. In contrast, the annualised RAP measure highlighted the differences in the securitised property fund returns for a given level of risk, with a wide 12.90‐16.66 per cent range. To achieve this uniform level of risk, five securities property funds had to replace up to 21 per cent of their property portfolio with a risk‐free asset (90 day bank bills). The RAP measure also decomposes the excess returns above the benchmark. In this instance, the securitised property funds outperformance was from a mixture of active portfolio selection and simply taking on additional risk exposure.

The research demonstrated the benefits of analysing securitised property funds beyond the standard return and risk measures. The RAP approach provides a measure of return for a definite level of risk with the benchmark excess attributed to portfolio selection and additional risk. This performance information can provide valuable additional information for an astute investor.

Examines the impact of using “unsmoothing” techniques on real estate data to take pension‐plan asset‐allocation decisions. It is generally believed that valuation‐based real estate indices give rise to returns figures which are “smoothed” versions of the underlying transaction prices. Unsmoothing techniques can be used to develop real estate return data series that are believed to be a more accurate representation of underlying transaction prices. If this is done, the resulting data reveal greater volatility of real estate returns. When such data are applied to portfolio selection models, they often reveal a reduced allocation to real estate in efficient portfolios. Looks at the impact of unsmoothing data when taking pension‐plan asset‐allocation decisions. Finds here that the unsmoothed data are more closely correlated with pension plan liabilities. As a result, efficient pension plan portfolios sometimes contain more real estate, rather than less. In general, there is little change in the efficient real estate allocation. These results are very important. They reveal that so‐called “valuation smoothing” may distort property investment decisions less than is commonly thought.