This study discusses the trading behavior of foreign investors with respect to economic uncertainty in the South Korean stock market from a time-varying perspective.We employ a news-based measure of economic uncertain...This study discusses the trading behavior of foreign investors with respect to economic uncertainty in the South Korean stock market from a time-varying perspective.We employ a news-based measure of economic uncertainty along with the model of time-varying parameter vector autoregression with stochastic volatility.The empirical analysis reveals several new findings about foreign investors’trading behaviors.First,we find evidence that positive feedback trading often appears during periods of high economic uncertainty,whereas negative feedback trading is exclusively observable during periods of low economic uncertainty.Second,the foreign investors’feedback trading appears mostly to be well-timed and often leads the time-varying economic uncertainty except in periods of global crises.Third,lagged negative(positive)response of net flows to economic uncertainty is found to be coupled with lagged positive(negative)feedback trading.Fourth,the study documents an asymmetric response of foreign investors with regard to negative and positive shocks of economic uncertainty.Specifically,we find that they instantly turn to positive feedback trading after a negative contemporaneous response of net flows to shocks of economic uncertainty.In contrast,they move slowly toward negative feedback trading after a positive response of net flows to uncertainty shocks.展开更多
The aim of this study is to examine the extreme return spillovers among the US stock market sectors in the light of the COVID-19 outbreak.To this end,we extend the now-traditional Diebold-Yilmaz spillover index to the...The aim of this study is to examine the extreme return spillovers among the US stock market sectors in the light of the COVID-19 outbreak.To this end,we extend the now-traditional Diebold-Yilmaz spillover index to the quantiles domain by building networks of generalized forecast error variance decomposition of a quantile vector autoregressive model specifically for extreme returns.Notably,we control for common movements by using the overall stock market index as a common factor for all sectors and uncover the effect of the COVID-19 outbreak on the dynamics of the network.The results show that the network structure and spillovers differ considerably with respect to the market state.During stable times,the network shows a nice sectoral clustering structure which,however,changes dramatically for both adverse and beneficial market conditions constituting a highly connected network structure.The pandemic period itself shows an interesting restructuring of the network as the dominant clusters become more tightly connected while the rest of the network remains well separated.The sectoral topology thus has not collapsed into a unified market during the pandemic.展开更多
Through the Economic-Value-Added(EVA)valuation model,the expected market value of equity can be determined by adding the book value of equity with the present value of expected EVAs under the assumption of constant re...Through the Economic-Value-Added(EVA)valuation model,the expected market value of equity can be determined by adding the book value of equity with the present value of expected EVAs under the assumption of constant required return and constant return on equity.The equation of EVA valuation model has taken its shape under the assumption of constant required return and constant return on equity.However,a large body of empirical evidence indicates that required rate of return never remain constant.The EVA-valuation model formulated under constant required return cannot be implemented under the scenario of changing required return.In this study,we explored whether the EVA valuation model could be implemented under changing required return by making any changes in the model and found that it could be implemented under the scenario of changing required return by replacing the book value of the equity of the existing model with the present value of required earnings or normal market earnings.We further examined whether the explanatory ability of the EVA valuation model under the assumption of changing required return is better than that of the valuation model under the assumption of constant required return.Relative information content analyses were conducted by considering sample of the intrinsic value of equities determined by valuation models and the market value of equities of 69 large-cap,88 mid-cap,and 79 small-cap companies.The results showed that the EVA-based valuation model with changing normal market return outperformed the EVA-based valuation model with constant required return.展开更多
Our research on private placement of equity on China capital market reveals that firms prefer to equity financing when their stock price is overvalued and investor sentiment is high,following the market timing hypothe...Our research on private placement of equity on China capital market reveals that firms prefer to equity financing when their stock price is overvalued and investor sentiment is high,following the market timing hypothesis.However,after private issuance,we document a significant positive abnormal return within three years.We believe firms choose to polish their financial statement before the exit of institutional investors and controlling shareholders.Through manipulation of discretional accruals,firms improve the profitability and market valuation,and help institutional investors and controlling shareholders obtain the abnormal return after private placement of equity.Nevertheless,such manipulation cannot be sustained and will do harm to other investors in the long-term.展开更多
The Growth Value Model(GVM)proposed theoretical closed form formulas consist-ing of Return on Equity(ROE)and the Price-to-Book value ratio(P/B)for fair stock prices and expected rates of return.Although regression ana...The Growth Value Model(GVM)proposed theoretical closed form formulas consist-ing of Return on Equity(ROE)and the Price-to-Book value ratio(P/B)for fair stock prices and expected rates of return.Although regression analysis can be employed to verify these theoretical closed form formulas,they cannot be explored by classical quintile or decile sorting approaches with intuition due to the essence of multi-factors and dynamical processes.This article uses visualization techniques to help intuitively explore GVM.The discerning findings and contributions of this paper is that we put forward the concept of the smart frontier,which can be regarded as the reasonable lower limit of P/B at a specific ROE by exploring fair P/B with ROE-P/B 2D dynamical process visualization.The coefficients in the formula can be determined by the quantile regression analysis with market data.The moving paths of the ROE and P/B in the cur-rent quarter and the subsequent quarters show that the portfolios at the lower right of the curve approaches this curve and stagnates here after the portfolios are formed.Furthermore,exploring expected rates of return with ROE-P/B-Return 3D dynamical process visualization,the results show that the data outside of the lower right edge of the“smart frontier”has positive quarterly return rates not only in the t+1 quarter but also in the t+2 quarter.The farther away the data in the t quarter is from the“smart frontier”,the larger the return rates in the t+1 and t+2 quarter.展开更多
To explain medium-term momentum and long-term reversal,we use the difference between the optional model and the CAPM model to construct a winner-loser portfolio.According to the CAPM model’s zero explanatory ability ...To explain medium-term momentum and long-term reversal,we use the difference between the optional model and the CAPM model to construct a winner-loser portfolio.According to the CAPM model’s zero explanatory ability with respect to stock market anomalies,we obtain an anomaly interpretative model.This study shows that this anomaly interpretative model can explain stock market perceptions and medium-term momentum.Most importantly,BM is a critical factor in the model’s explanatory ability.We present a robustness test,which includes selecting new sample data,adding new auxiliary variables,changing sample years,and adding industry fixed effects.In general,the BM effect does have considerable explanatory power in medium-term momentum and long-term reversal.展开更多
Profitability ratios are a group of financial ratios that indicate how much profit a business is earning within a certain context, while asset utilization ratios indicate how efficient a business is in operating its a...Profitability ratios are a group of financial ratios that indicate how much profit a business is earning within a certain context, while asset utilization ratios indicate how efficient a business is in operating its assets to generate cash. The difference between profitability ratios and turnover ratios is the fact that turnovers are more specific. While profitability ratios measure overall performance in terms of profits, asset utilization ratios focus on specific measurements within the business） We conduct this study to verify the impact of turnover ratios on Jordanian services sectors＇ performance during the period from 2009 to 2012. The study showed that there is no significant impact of turnover ratios on Jordanian services sectors＇ profitability, and by testing the main and sub hypotheses, the study revealed that there is no significant impact of turnover ratios on Jordanian services sectors＇ return on assets （ROA）, there is no significant impact of working capital turnover on Jordanian services sectors＇ ROA, there is no significant impact of total asset turnover on Jordanian services sectors＇ ROA, and there is no significant impact of fixed asset turnover on Jordanian services sectors＇ ROA. Also, the study showed that there is no significant impact of turnover ratios on Jordanian services sectors＇ return on equity （ROE）, there is no significant impact of working capital turnover on Jordanian services sectors＇ ROE, there is no significant impact of total asset turnover on Jordanian services sectors＇ ROE, and there is no significant impact of fixed asset turnover on Jordanian services sectors＇ ROE. Moreover, the study concluded that the educational services sector has the lowest working capital turnover and healthcare services sector has the highest. In addition, we find that the hotels and tourism sector has the lowest total asset turnover ratio, while the utilities and energy sector has the highest and that the hotels and tourism sector has the lowest fixed asset turnover, while the utilities and energy sector has the highest. The transportation sector has the lowest ROA and technology and communication sector has the highest. Finally, we find that transportation sector has the lowest ROE and the technology and communication sector has the highest.展开更多
The finn value is the fundamental topic of corporate finance. The value creation is the aim of economic initiatives, strategies, corporate policies, and all business activities, including banking. It depends, among ot...The finn value is the fundamental topic of corporate finance. The value creation is the aim of economic initiatives, strategies, corporate policies, and all business activities, including banking. It depends, among other things, on size, legal form, and business model. Therefore, this paper wants to demonstrate and explain the differences about the value created in the Italian banking sector, where there is much diversity regarding size, legal form, and business model. This paper estimated and compared the value of Italian listed companies from 2010 to 2012 and found the result： Banks create more value if they are big and operate in investment banking. Furthermore, it proved that legal form hasn＇t influenced performance and value of banks.展开更多
A model for both stochastic jumps and volatility for equity returns in the area of option pricing is the stochastic volatility process with jumps (SVPJ). A major advantage of this model lies in the area of mean revers...A model for both stochastic jumps and volatility for equity returns in the area of option pricing is the stochastic volatility process with jumps (SVPJ). A major advantage of this model lies in the area of mean reversion and volatility clustering between returns and volatility with uphill movements in price asserts. Thus, in this article, we propose to solve the SVPJ model numerically through a discretized variational iteration method (DVIM) to obtain sample paths for the state variable and variance process at various timesteps and replications in order to estimate the expected jump times at various iterates resulting from executing the DVIM as n increases. These jumps help in estimating the degree of randomness in the financial market. It was observed that the average computed expected jump times for the state variable and variance process is moderated by the parameters (variance process through mean reversion), Θ (long-run mean of the variance process), σ (volatility variance process) and λ (constant intensity of the Poisson process) at each iterate. For instance, when = 0.0, Θ = 0.0, σ = 0.0 and λ = 1.0, the state variable cluttered maximally compared to the variance process with less volatility cluttering with an average computed expected jump times of 52.40607869 as n increases in the DVIM scheme. Similarly, when = 3.99, Θ = 0.014, σ = 0.27 and λ = 0.11, the stochastic jumps for the state variable are less cluttered compared to the variance process with maximum volatility cluttering as n increases in the DVIM scheme. In terms of option pricing, the value 52.40607869 suggest a better bargain compared to the value 20.40344029 due to the fact that it yields less volatility rate. MAPLE 18 software was used for all computations in this research.展开更多
The purpose of this paper is to investigate the value relevance of earning based accounting information and to see how value relevance has changed with the introduction of new information technology at Colombo Stock E...The purpose of this paper is to investigate the value relevance of earning based accounting information and to see how value relevance has changed with the introduction of new information technology at Colombo Stock Exchange （CSE） in Sri Lanka. Sample of the study includes 129 companies selected from 6 major sectors at CSE. Cross sectional and time series cross-sectional regressions are used for the data analysis. Study finds that earnings per share （EPS） and returns on equity （ROE） have a significant impact on market price. However, the explanatory power of combined variables is below average. Further, value explanatory power of earnings has considerably improved after the new information technology adoption at CSE. This study is unique because it examines the impact of technological advancements on value relevance of accounting information probably as the first paper to be applied on Sri Lanka.展开更多
The following contribution aims at explaining BNetzA’s role in energy infrastructure regulation and planning/permitting of high-voltage electricity nationwide and cross-border transmission lines. It shows the interpl...The following contribution aims at explaining BNetzA’s role in energy infrastructure regulation and planning/permitting of high-voltage electricity nationwide and cross-border transmission lines. It shows the interplay of the two main regulatory instruments and the planning/permitting task as well as more generally the changing role of the regulator in the era of energy transition. The article is based on two presentations on the topic, one at the VIIth WFER in Mexico in March 2018 and one at a conference on “The Governance of Maintenance and Investment in Infrastructures” of the University of Paris-Dauphine in April 2018.展开更多
文摘This study discusses the trading behavior of foreign investors with respect to economic uncertainty in the South Korean stock market from a time-varying perspective.We employ a news-based measure of economic uncertainty along with the model of time-varying parameter vector autoregression with stochastic volatility.The empirical analysis reveals several new findings about foreign investors’trading behaviors.First,we find evidence that positive feedback trading often appears during periods of high economic uncertainty,whereas negative feedback trading is exclusively observable during periods of low economic uncertainty.Second,the foreign investors’feedback trading appears mostly to be well-timed and often leads the time-varying economic uncertainty except in periods of global crises.Third,lagged negative(positive)response of net flows to economic uncertainty is found to be coupled with lagged positive(negative)feedback trading.Fourth,the study documents an asymmetric response of foreign investors with regard to negative and positive shocks of economic uncertainty.Specifically,we find that they instantly turn to positive feedback trading after a negative contemporaneous response of net flows to shocks of economic uncertainty.In contrast,they move slowly toward negative feedback trading after a positive response of net flows to uncertainty shocks.
基金Ladislav Kristoufek gratefully acknowledges financial support of the Czech Science Foundation(project 20-17295S)the Charles University PRIMUS program(project PRIMUS/19/HUM/17).
文摘The aim of this study is to examine the extreme return spillovers among the US stock market sectors in the light of the COVID-19 outbreak.To this end,we extend the now-traditional Diebold-Yilmaz spillover index to the quantiles domain by building networks of generalized forecast error variance decomposition of a quantile vector autoregressive model specifically for extreme returns.Notably,we control for common movements by using the overall stock market index as a common factor for all sectors and uncover the effect of the COVID-19 outbreak on the dynamics of the network.The results show that the network structure and spillovers differ considerably with respect to the market state.During stable times,the network shows a nice sectoral clustering structure which,however,changes dramatically for both adverse and beneficial market conditions constituting a highly connected network structure.The pandemic period itself shows an interesting restructuring of the network as the dominant clusters become more tightly connected while the rest of the network remains well separated.The sectoral topology thus has not collapsed into a unified market during the pandemic.
文摘Through the Economic-Value-Added(EVA)valuation model,the expected market value of equity can be determined by adding the book value of equity with the present value of expected EVAs under the assumption of constant required return and constant return on equity.The equation of EVA valuation model has taken its shape under the assumption of constant required return and constant return on equity.However,a large body of empirical evidence indicates that required rate of return never remain constant.The EVA-valuation model formulated under constant required return cannot be implemented under the scenario of changing required return.In this study,we explored whether the EVA valuation model could be implemented under changing required return by making any changes in the model and found that it could be implemented under the scenario of changing required return by replacing the book value of the equity of the existing model with the present value of required earnings or normal market earnings.We further examined whether the explanatory ability of the EVA valuation model under the assumption of changing required return is better than that of the valuation model under the assumption of constant required return.Relative information content analyses were conducted by considering sample of the intrinsic value of equities determined by valuation models and the market value of equities of 69 large-cap,88 mid-cap,and 79 small-cap companies.The results showed that the EVA-based valuation model with changing normal market return outperformed the EVA-based valuation model with constant required return.
文摘Our research on private placement of equity on China capital market reveals that firms prefer to equity financing when their stock price is overvalued and investor sentiment is high,following the market timing hypothesis.However,after private issuance,we document a significant positive abnormal return within three years.We believe firms choose to polish their financial statement before the exit of institutional investors and controlling shareholders.Through manipulation of discretional accruals,firms improve the profitability and market valuation,and help institutional investors and controlling shareholders obtain the abnormal return after private placement of equity.Nevertheless,such manipulation cannot be sustained and will do harm to other investors in the long-term.
文摘The Growth Value Model(GVM)proposed theoretical closed form formulas consist-ing of Return on Equity(ROE)and the Price-to-Book value ratio(P/B)for fair stock prices and expected rates of return.Although regression analysis can be employed to verify these theoretical closed form formulas,they cannot be explored by classical quintile or decile sorting approaches with intuition due to the essence of multi-factors and dynamical processes.This article uses visualization techniques to help intuitively explore GVM.The discerning findings and contributions of this paper is that we put forward the concept of the smart frontier,which can be regarded as the reasonable lower limit of P/B at a specific ROE by exploring fair P/B with ROE-P/B 2D dynamical process visualization.The coefficients in the formula can be determined by the quantile regression analysis with market data.The moving paths of the ROE and P/B in the cur-rent quarter and the subsequent quarters show that the portfolios at the lower right of the curve approaches this curve and stagnates here after the portfolios are formed.Furthermore,exploring expected rates of return with ROE-P/B-Return 3D dynamical process visualization,the results show that the data outside of the lower right edge of the“smart frontier”has positive quarterly return rates not only in the t+1 quarter but also in the t+2 quarter.The farther away the data in the t quarter is from the“smart frontier”,the larger the return rates in the t+1 and t+2 quarter.
基金I follow the tutor to do two fund projects which is the National Social Science Fund Project(15BJY164)the Ministry of Education Humanities and Social Sciences Fund Project(14YJA790034),respectively.
文摘To explain medium-term momentum and long-term reversal,we use the difference between the optional model and the CAPM model to construct a winner-loser portfolio.According to the CAPM model’s zero explanatory ability with respect to stock market anomalies,we obtain an anomaly interpretative model.This study shows that this anomaly interpretative model can explain stock market perceptions and medium-term momentum.Most importantly,BM is a critical factor in the model’s explanatory ability.We present a robustness test,which includes selecting new sample data,adding new auxiliary variables,changing sample years,and adding industry fixed effects.In general,the BM effect does have considerable explanatory power in medium-term momentum and long-term reversal.
文摘Profitability ratios are a group of financial ratios that indicate how much profit a business is earning within a certain context, while asset utilization ratios indicate how efficient a business is in operating its assets to generate cash. The difference between profitability ratios and turnover ratios is the fact that turnovers are more specific. While profitability ratios measure overall performance in terms of profits, asset utilization ratios focus on specific measurements within the business） We conduct this study to verify the impact of turnover ratios on Jordanian services sectors＇ performance during the period from 2009 to 2012. The study showed that there is no significant impact of turnover ratios on Jordanian services sectors＇ profitability, and by testing the main and sub hypotheses, the study revealed that there is no significant impact of turnover ratios on Jordanian services sectors＇ return on assets （ROA）, there is no significant impact of working capital turnover on Jordanian services sectors＇ ROA, there is no significant impact of total asset turnover on Jordanian services sectors＇ ROA, and there is no significant impact of fixed asset turnover on Jordanian services sectors＇ ROA. Also, the study showed that there is no significant impact of turnover ratios on Jordanian services sectors＇ return on equity （ROE）, there is no significant impact of working capital turnover on Jordanian services sectors＇ ROE, there is no significant impact of total asset turnover on Jordanian services sectors＇ ROE, and there is no significant impact of fixed asset turnover on Jordanian services sectors＇ ROE. Moreover, the study concluded that the educational services sector has the lowest working capital turnover and healthcare services sector has the highest. In addition, we find that the hotels and tourism sector has the lowest total asset turnover ratio, while the utilities and energy sector has the highest and that the hotels and tourism sector has the lowest fixed asset turnover, while the utilities and energy sector has the highest. The transportation sector has the lowest ROA and technology and communication sector has the highest. Finally, we find that transportation sector has the lowest ROE and the technology and communication sector has the highest.
文摘The finn value is the fundamental topic of corporate finance. The value creation is the aim of economic initiatives, strategies, corporate policies, and all business activities, including banking. It depends, among other things, on size, legal form, and business model. Therefore, this paper wants to demonstrate and explain the differences about the value created in the Italian banking sector, where there is much diversity regarding size, legal form, and business model. This paper estimated and compared the value of Italian listed companies from 2010 to 2012 and found the result： Banks create more value if they are big and operate in investment banking. Furthermore, it proved that legal form hasn＇t influenced performance and value of banks.
文摘A model for both stochastic jumps and volatility for equity returns in the area of option pricing is the stochastic volatility process with jumps (SVPJ). A major advantage of this model lies in the area of mean reversion and volatility clustering between returns and volatility with uphill movements in price asserts. Thus, in this article, we propose to solve the SVPJ model numerically through a discretized variational iteration method (DVIM) to obtain sample paths for the state variable and variance process at various timesteps and replications in order to estimate the expected jump times at various iterates resulting from executing the DVIM as n increases. These jumps help in estimating the degree of randomness in the financial market. It was observed that the average computed expected jump times for the state variable and variance process is moderated by the parameters (variance process through mean reversion), Θ (long-run mean of the variance process), σ (volatility variance process) and λ (constant intensity of the Poisson process) at each iterate. For instance, when = 0.0, Θ = 0.0, σ = 0.0 and λ = 1.0, the state variable cluttered maximally compared to the variance process with less volatility cluttering with an average computed expected jump times of 52.40607869 as n increases in the DVIM scheme. Similarly, when = 3.99, Θ = 0.014, σ = 0.27 and λ = 0.11, the stochastic jumps for the state variable are less cluttered compared to the variance process with maximum volatility cluttering as n increases in the DVIM scheme. In terms of option pricing, the value 52.40607869 suggest a better bargain compared to the value 20.40344029 due to the fact that it yields less volatility rate. MAPLE 18 software was used for all computations in this research.
文摘The purpose of this paper is to investigate the value relevance of earning based accounting information and to see how value relevance has changed with the introduction of new information technology at Colombo Stock Exchange （CSE） in Sri Lanka. Sample of the study includes 129 companies selected from 6 major sectors at CSE. Cross sectional and time series cross-sectional regressions are used for the data analysis. Study finds that earnings per share （EPS） and returns on equity （ROE） have a significant impact on market price. However, the explanatory power of combined variables is below average. Further, value explanatory power of earnings has considerably improved after the new information technology adoption at CSE. This study is unique because it examines the impact of technological advancements on value relevance of accounting information probably as the first paper to be applied on Sri Lanka.
文摘The following contribution aims at explaining BNetzA’s role in energy infrastructure regulation and planning/permitting of high-voltage electricity nationwide and cross-border transmission lines. It shows the interplay of the two main regulatory instruments and the planning/permitting task as well as more generally the changing role of the regulator in the era of energy transition. The article is based on two presentations on the topic, one at the VIIth WFER in Mexico in March 2018 and one at a conference on “The Governance of Maintenance and Investment in Infrastructures” of the University of Paris-Dauphine in April 2018.
