scholarly journals The Compatibility between Fibonacci Sequence and Elliott Impulse Wave in the Context of A-share Market

2021 ◽  
Vol 6 (1) ◽  
pp. 66
Author(s):  
Yufeng Sang

The connections between Fibonacci sequence and Elliott impulse wave that Ralph Elliot has proposed in Elliott Wave Principle are not valid all the time owing to the type and variability of the stock market. It is a probabilistic event which can reflect the compatibility between Fibonacci sequence and Elliott impulse wave. In order to explore the compatibility between Fibonacci sequence and basic-form Elliott impulse wave in the context of Chinese A-share market, a research via analyzing the historical trend of 50 core assets’ individual stocks was conducted in Chinese A-share market. The study reveals that Fibonacci sequence does not highly fit basic-form Elliott impulse wave in the context of Chinese A-share market. Suggestions for investors are diversifying the investment strategy to enhance risk controllability, rather than using Elliott Wave Principle singly.

2019 ◽  
Vol 13 (3) ◽  
pp. 574-602 ◽  
Author(s):  
Yixi Ning ◽  
Gubo Xu ◽  
Ziwu Long

Purpose This study aims to examine the venture capital (VC) industry in China. It has demonstrated a history of high growth with significant variations over time. The authors have examined the trends and determinants of VC investments in China over a 20-year period from 1995 to 2014. They find that the aggregate amount of VC investments, the total number of venture deals and the average amount of venture investments per deal in China are all significantly impacted by macroeconomic conditions (i.e. GDP, export, money supply), technology innovations and financial market indicators (i.e. initial public offerings (IPOs), interest rate, price-to-earnings ratio, etc.). They also find that the 2007 China A-Share stock market crash and the subsequent global financial crisis have motivated VCists in China to adjust their investment strategies and risk levels by allocating more capital to later-stage investments and securing more deals with later-round financings. However, after the 2008 global financial crisis, the China’s venture industry has recovered faster compared to the US counterpart response. Design/methodology/approach The authors first perform trend analysis of VC investments at an aggregate level, by stages of development, and across industry from 1995 to 2014.To test H1 and H2, the authors use multiple regression models with lagged explanatory variables. To test H3, the authors use univariate tests to compare the measures of VC investments at an aggregate level, stage funds ratios, stage deals ratios and financing series ratios during both a five-year and seven-year time windows around the 2007 A-Share stock market crash and the subsequent financial crisis. Findings The development of the VC industry in China has demonstrated a history of high growth with significant variation over time. The authors find that the aggregate amount of VC investments, the total number of venture deals and the average amount of venture investments per deal in China are all significantly impacted by macroeconomic conditions (i.e. GDP, export, money supply), technology innovations and financial market indicators (i.e. IPOs, interest rate, price-to-earnings ratio, etc.). The authors also find that the 2007 China A-Share stock market crash and the subsequent global financial crisis have motivated VCists in China to adjust their investment strategies and risk by allocating more capital to later-stage investments and securing more deals with later-round financings. However, the China VC industry has recovered faster compared to the USA just after the 2008 global financial crisis. Research limitations/implications There are also limitations in the study. The VC data in China in the earlier 1990s might not be very reliable due to the quality of statistics. Therefore, the trend analysis and discussions mainly focus on the time after 2000. Also, the authors cannot find VC financing sequence data for the analysis. Second, there is no doubt that the policy impact from Chinese transforming economic system and government policies on its VC industry is substantial (Su and Wang, 2013). However, they cannot find an appropriate variable to be included in the empirical models to consider this effect. Further study on this area would provide meaningful information. Third, although the authors have done comparison study between the VC industry in China in this study and the VC industry in the US documented in Ning et al. (2015) and discussed some interesting findings, more in-depth research in this area will be very useful. Practical implications The findings have meaningful implications for VCists and start-up companies seeking equity financings in China. VCists should closely monitor macroeconomic and market conditions to make appropriate adjustments to their risk and investment strategies. Entrepreneurs seeking equity financings for their business could also monitor the identified macroeconomic and market indicators, which can help them with their timing and to negotiate a better equity financing deal. VC financing is more likely to succeed when key macroeconomic and market indicators become favorable. Originality/value This paper contributes to the literature by testing the supply and demand theory on the VC market proposed by Poterba (1989) and Gompers and Lerner (1998) from the macroeconomic perspective using 20 years’ VC data from China. The authors also examine how the 2007 A-Share stock market crash and the subsequent financial crisis affected VCists to adjust their risk levels and investment strategies. It provides useful information for international academia and policymakers to understand the quick rise of China VC industry. The authors also find that the macroeconomic drivers of VC industry are somewhat different under different economic systems.


Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-21
Author(s):  
Hung-Wen Lin ◽  
Kun-Ben Lin ◽  
Jing-Bo Huang ◽  
Xia-Ping Cao

We show the effect of investor anxiety on momentum in the Chinese stock market. In this market dominated by retail investors, we examine the momentum profits in 900 types of daily testing periods. We find prevalent price reversals in the long formation and holding periods in the Chinese A-share market. Compared to Goyal and Wahal (2015), Wang and Xie (2010), and Kang et al. (2002) who found no momentum, our novel finding from a daily basis is that the A-share market presents price momentum within the short formation and holding periods. We first test the momentum profits under different strengths of anxiety in the A-share market. The stocks held by the least anxious investors elicit the strongest price momentum, whereas the stocks held by the most anxious investors encounter much weaker price momentum in the A-share market. According to our empirical outcomes, the A-share market overall exhibits higher anxiety and weaker momentum, whereas the B-share market embodies milder anxiety and stronger momentum. From the results of single market and cross-market comparisons, the intrinsic anxiety of retail investors is an essential factor stimulating the Chinese stock market to be prone to price reversals.


2015 ◽  
Vol 9 (1) ◽  
pp. 22-29 ◽  
Author(s):  
Fernando García ◽  
Jairo Alexander González-Bueno ◽  
Javier Oliver

2015 ◽  
Vol 32 (2) ◽  
pp. 181-203 ◽  
Author(s):  
Evangelos Vasileiou ◽  
Aristeidis Samitas

Purpose – This paper aims to examine the month and the trading month effects under changing financial trends. The Greek stock market was chosen to implement the authors' assumptions because during the period 2002-2012, there were clear and long-term periods of financial growth and recession. Thus, the authors examine whether the financial trends influence not only the Greek stock market’s returns, but also its anomalies. Design/methodology/approach – Daily financial data from the Athens Exchange General Index for the period 2002-2012 are used. The sample is separated into two sub-periods: the financial growth sub-period (2002-2007), and the financial recession sub-period (2008-2012). Several linear and non-linear models were applied to find which is the most appropriate, and the results suggested that the T-GARCH model better fits the sample. Findings – The empirical results show that changing economic and financial conditions influence the calendar effects. The trading month effect, especially, completely changes in each fortnight following the financial trend. Regarding the January effect, which is the most popular month effect, the results confirm its existence during the growth period, but during the recession period, we find that it fades. Therefore, by examining the aforementioned calendar effects in different periods, different conclusions may be reached, perhaps because the financial trends’ influence is ignored. Research limitations/implications – The empirical results confirm the authors' assumption that a possible explanation for the controversial empirical findings regarding the calendar anomalies may be the different financial trends. However, these are some primary results that are confirmed only for the Greek case. Further empirical research for deeper stock markets and/or a group of countries may be useful to reach conclusions regarding the financial trends’ influence on the calendar anomalies patterns. Practical implications – The findings are helpful to anyone who invests and deals with the Greek stock market. Moreover, they may pave the way for an alternative calendar anomalies research approach, proving useful for investors who take these anomalies into account when they plan their investment strategy. Originality/value – This paper contributes to the literature by presenting an alternative methodological approach regarding the calendar anomalies study and a new explanation for the calendar effects existence/fade through time by examining the calendar anomalies patterns under a changing economic environment and financial trends.


2015 ◽  
Vol 26 (11) ◽  
pp. 1550128
Author(s):  
Shangjun Ying ◽  
Xiaojun Li ◽  
Xiuqin Zhong

This paper discusses the initial value sensitivity (IVS) of Chinese stock market, including the single stock market and the Chinese A-share stock market, with respect to real markets and evolving models. The aim is to explore the relationship between IVS of the Chinese A-share stock market and the investment psychology based on the evolving model of genetic cellular automaton (GCA). We find: (1) The Chinese stock market is sensitively dependent on the initial conditions. (2) The GCA model provides a considerable reliability in complexity simulation (e.g. the IVS). (3) The IVS of stock market is positively correlated with the imitation probability when the intensity of the imitation psychology reaches a certain threshold. The paper suggests that the government should seek to keep the imitation psychology under a certain level, otherwise it may induce severe fluctuation to the market.


2015 ◽  
Vol 7 (2) ◽  
pp. 116-133 ◽  
Author(s):  
Taufiq Choudhry ◽  
Yuan Wu

Purpose – The purpose of this paper is to investigate the momentum phenomenon in two market segments of the Chinese stock market – the Class A share market and Class B share market over time period spanning from January 1996 to December 2010. Design/methodology/approach – The authors largely follow Jegadeesh and Titman (1993) paper; the authors decompose the momentum returns following the procedure first proposed by Jegadeesh and Titman (1995). In addition, a liquidity factor (Pastor and Stambaugh, 2003) and a share ownership factor (Wang and Xu, 2004) are incorporated in the procedure to gauge the contribution of liquidity and the dynamics of share ownership towards the momentum returns, respectively in the two segments of the Chinese stock market. Findings – The authors find compelling evidence showing distinctively different momentum phenomena exist in the two market segments of the Chinese stock market. Specifically, the momentum phenomenon is more pronounced in the Chinese Class A share market compared to those found in the Chinese Class B share market. Through decomposing the momentum returns, the authors find evidence showing the dismal momentum returns observed in the Class B share market can be attributed to markedly weakened contributions of the liquidity factor and the share ownership factor. Research limitations/implications – Relatively short sample time horizon compared to the most of major financial markets such as USA and UK. The number of B shares has been rather limited. Practical implications – Subsequent to the opening of the Chinese Class B share market to domestic investors in 2001 and the opening of the Chinese Class A share market to qualified foreign institutional investors (QFII) in 2003, the empirical evidence found in this study provides a crucial reference point for domestic and foreign portfolio strategists in guiding them to form suitable portfolio strategies concerning investments in a nascent financial market such as the Chinese stock market, fraught with volatility and speculative trading behaviour. Social implications – It offers a comprehensive view of the momentum phenomenon in the Chinese Class A and B share markets over the sample period from January 1996 to December 2010. Second, the reasons behind the dichotomy of the momentum returns found in the two market segments were investigated through decomposing the momentum returns based on Jegdeesh and Titman’s (1995) method while incorporating three new explanatory factors – the liquidity factor, share ownership factor and the under reaction towards firm-specific news factor. Originality/value – A couple of extant papers have visited the topic before. yet this paper offers more comprehensive view on the existence of momentum premium in both Chinese Class A and B share markets and investigates the driving forces behind the subdued momentum returns observed in the B share market.


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