Search results

Traditional Chinese medicine (TCM) prescriptions have always relied on the experience of TCM doctors, and machine learning(ML) provides a technical means for learning these experiences and intelligently assists in prescribing. However, in TCM prescription, there are the main (Jun) herb and the auxiliary (Chen, Zuo and Shi) herb collocations. In a prescription, the types of auxiliary herbs are often more than the main herb and the auxiliary herbs often appear in other prescriptions. This leads to different frequencies of different herbs in prescriptions, namely, imbalanced labels (herbs). As a result, the existing ML algorithms are biased, and it is difficult to predict the main herb with less frequency in the actual prediction and poor performance. In order to solve the impact of this problem, this paper proposes a framework for multi-label traditional Chinese medicine (ML-TCM) based on multi-label resampling.

In this work, a multi-label learning framework is proposed that adopts and compares the multi-label random resampling (MLROS), multi-label synthesized resampling (MLSMOTE) and multi-label synthesized resampling based on local label imbalance (MLSOL), three multi-label oversampling techniques to rebalance the TCM data.

The experimental results show that after resampling, the less frequent but important herbs can be predicted more accurately. The MLSOL method is shown to be the best with over 10% improvements on average because it balances the data by considering both features and labels when resampling.

The authors first systematically analyzed the label imbalance problem of different sampling methods in the field of TCM and provide a solution. And through the experimental results analysis, the authors proved the feasibility of this method, which can improve the performance by 10%−30% compared with the state-of-the-art methods.

Formal structured leadership training is increasingly incorporated as a regular fixture in developed nations to produce competent leaders to ensure the provision of quality patient care. However, most low- and middle-income countries (LMICs) rely on one-off external training opportunities for selected individuals as they lack the necessary resources to implement long-term training for a wider pool of potential health care leaders. This case study shares the establishment process of the Talent Grooming Programme for technical health care professionals (TGP), a three-year in-house leadership training programme specially targeted at potential health care leaders in Malaysia.

This case study aims to share a comprehensive overview of the ideation, conceptualisation and implementation of TGP. The authors also outlined its impact from the individual and organisational perspectives, besides highlighting the lessons learned and recommendations for the way forward.

TGP set out to deliver experiential learning focusing on formal training, workplace experiences, practical reflection and mentoring by supervisors and other esteemed leaders to fulfil the five competency domains of leadership, organisational governance, communication and relationship, professional values and personal values. The successes and challenges in TGP programme delivery, post-training assessment, outcome evaluation and programme sustainability were outlined.

The authors’ experience in setting up TGP provided valuable learning points for other leadership development programme providers. As for any development programme, a continuous evaluation is vital to ensure its relevance and sustainability.

Certain aspects of TGP establishment can be referenced and modified to adapt to country-specific settings for others to develop similar leadership programme, especially those in LMICs.

This study investigates the private equity funds’ performances and persistence by fund type. Diversification benefit exists between public equity and private equity and among different types of private equity funds. The net IRR of private equity funds depends on fund type, economic growth, stock market performance, inflation and interest rate. Fund performance was negatively correlated with capital inflow to private equity market and fund size. Fund size and series are positively correlated. Performance persistency exists in private equity fund managers. Fund type is very important factor in analyzing private equity fund performance and persistency.

Residential mortgage loans as well as the MBS (mortgage-backed security), which securitizes these loans, are exposed to prepayment risk. We examine the effect of prepayment process on the duration of the CMO (multi-tranche MBS). In particular, we examine the effect of partial pass-through where there is a call limit expressed as a percentage of initial tranche balance. Due to the absence of empirical research on the CMO duration, neither the actual CMO duration nor the determinants of the CMO duration have been reported. Our study reports the actual CMO duration and the determinants of the CMO duration. By showing that the CMO duration is much shorter than the nominal time-to-maturity we point to the need to search for longer duration MBS structures. We find that in both the deterministic and stochastic interest rate environments duration is reduced as prepayment speed rises and duration rises as call limit decreases.

We make contribution to the literature by shedding light on the effect of prepayment and call limit on the duration of multi-tranche MBS. In particular, this research characterizes the impact of the partial pass-through structuring approach on the CMO duration as well as CMO pricing. Finally, it assists CMO investors in better assessing and managing reinvestment risks of pass-through products.

This paper investigates the effects of information asymmetry and Credit Rating Agency's reputation on bond yield spread, which is caused by the split bond rating of CRAs. For analysis, We do multivariate analysis, using bond rating and bond yield spread data in Korea from 2004 to 2015. The empirical results are as follows.

First, we examines whether information asymmetry affects the bond yield spread. using split rating data. As a result, the information asymmetry measured by split rating variable is significant, which supports the information asymmetry hypothesis. Additionally we can find bond yield spread is decided by negative credit grade rather than positive credit grade under split rating condition.

Next, we examines the relationship between the CRA’s reputation and the bond yield spread in case of split rating. Here, samples were divided into full samples and split rating samples. Summarizing the result, both samples are suggest similar result, the bond yield spread is changed depending on the specific CRA’s grading which having conservative rating tendency.

Thus, This result suggest information asymmetry caused by split rating and CRA’s reputation measured by CRA’s rating tendency affect bond yield spread in Korea

In the paper, the effects of sidecar on the Korean stock market are considered. Throughout the study, we could reach the following conclusions. Firstly, the analysis of return dynamics illustrates that there are no price reversals for all sample groups but price continuations after the event. Secondly, the analysis of volatility and liquidity shows that there are some differences in the effects of sidecar on market volatility and liquidity according to the sample periods‘ however, in the post period of widening of the sidecar trigger levels, the mechanism couldn’t play any role of stabilizing the market volatility and resolving the increased order imbalance around the event. From these results, we could infer that sidecar delays the normal price discovery process and undermine the market liquidity. Also, we suggest that the increased market efficiency of Korea stock market after the financial crisis in 1997, especially deregulation in securities markets, can be a good additional factor for explaining the diffrences in the role of sidecar between sample periods.

In this paper we make an analysis of KOSPI 200 index options listed in Korea Stock and Futures Exchange whose trading volume is world best these days. We adopt the stochastic volatility model suggested by Heston (1993) for the dynamics of the underlying asset and use EMM to estimate the parameters of option pricing kernel. The SNP distribution of the implied volatility contains AR (2) and ARCH effects, and the skewness of the distribution is much higher than normal distribution. The distribution has thinner left tail and fatter right tail than normal distribution, which is opposite to the case of S&P 500 options market. The result of estimation shows that Implied volatility series of KOSPI 200 options have weak mean reverting property and are almost nonstationary. The correlation coefficient between the implied volatility and returns is estimated to have negligible negative number. These features are also opposite to the case of S&P 500 options market where implied volatility is reported to have strong mean reversion, and the correlation between the implied VIatilIty and retturns is reported to have large negative number.

In 2002, variable annuities were introduced in South Korea and have shown enormous success since then. They are life-insurance products with investment guarantees. Variable annuities allow policyholders to allocate premiums into a wide range of investment vehicles such as stocks, bonds, money market instruments, or some combinations of them. Due to the investment guarantee which is called guaranteed living benefits (GLBs), the benefit is always the greater of (1) the account value of the policyholder investment and (2) the guaranteed amount. Life insurance companies set aside reserves for the guarantees in the general account. Just as the account value depends on the performance of investments, VA lapses also rely on the performance of investments. For example, policyholders will not terminate the contracts when account value is way lower than the guaranteed amount. Considering that lapses determine the total benefit of VAs that a insurance company should pay, calculating risk margin for lapse is a key issue in the VA business. In this study, risk margin for VA lapses is estimated with Wang transform suggested by Wang (2000, 2002).