Cross-Sectional Return Predictability in Taiwan Stock Exchange: An Empirical Investigation

2014 ◽  
Vol 17 (02) ◽  
pp. 1450010 ◽  
Author(s):  
Nusret Cakici ◽  
Kudret Topyan ◽  
Chia-Jane Wang

This paper provides an analysis of the effectiveness of certain return predictors in Taiwan Stock Exchange (TWSE) from January 1990 to December 2011 by employing both portfolio method and cross-sectional regressions. While we found no statistically significant predictive power of beta, total volatility, and idiosyncratic volatility the two cheapness variables, book-to-market (BKMT) and cash-flow-to-price (FPR) ratios showed strong consistent economically and statistically significant predictive powers. In addition, our multiple regressions found predictive power in total volatility, short-term reversal (STREV), and market capitalization in the set of small stocks, while our all stock set showed predictive power only in total volatility and STREV.

2020 ◽  
Vol 10 (1) ◽  
pp. 65
Author(s):  
Abu Hasan Ahmad ◽  
Maria Adventia Mentari Mayang Cardicna

This study aims to test the pecking order theory by looking at the level of cash flow sensitivity as a source of internal financing for all types of external financing (debt and equity). This testing also considering the financial constraint variable as moderation. The data used are the financial statements of manufacturing companies listed on the Indonesia Stock Exchange in 2014 - 2018. The dependent variable is all types of external financing (debt and equity). Debt financing is divided into two forms, short-term debt financing and long-term debt financing. While the independent variable is cash flow. The results obtained is that cash flow does not substitute all types of external financing, and the highest cash flow sensitivity occurs in short-term debt financing. The next result is that financial constraint strengthen the sensitivity of cash flow to debt and equity financing


2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Moinak Maiti

AbstractThe present study focused on one of the important South Asian nations—Sri Lanka—to examine the role of idiosyncratic volatility in asset prices. A four-factor model with idiosyncratic volatility was designed for capturing the market, size, value and idiosyncratic risk yields better than Fama and French’s (J Financ Econ 33:3–56, 1993) three-factor model and performance of the model. Fama–MacBeth’s cross-sectional regression, residual graphs and GRS test all confirm the superiority of four-factor model over 2 three-factor models. For all MC- and IVOL-based portfolios, idiosyncratic volatility is negatively related to the expected returns and positively related for all PB-based portfolios. Finally, study findings confirm that there is a high importance for idiosyncratic volatility risk factor while considering investment decision in Colombo stock exchange. Hence, investor should compensate for holding such risk factors in the portfolio.


2015 ◽  
Vol 12 (3) ◽  
pp. 223-232
Author(s):  
Gabriel Hideo Sakai de Macedo ◽  
Joelson Oliveira Sampaio ◽  
Eduardo Flores ◽  
Pedro Luiz Aprigio

This study seek to contribute to the literature through research focused on companies listed and not listed on the stock exchange. A survey was used to identify the capital structure of Brazilian companies and relate the results to the Brazilian credit market. The results indicate that most of the investigated companies prefer not to issue convertible debt, as well as the share of firms issuing common shares was small. It was found that firms do not have preference between long-term and short-term debt. Finally, it was also noted that private companies have great concern about the volatility of earnings and cash flow. The differential of this research was to analyze the practices adopted by both public companies and privately held


2019 ◽  
Vol 15 (11) ◽  
pp. 25
Author(s):  
Yaling Lin ◽  
Liang-Chien Lee ◽  
Tsung-Li Chi ◽  
Chen-Chang Lo ◽  
Wai-Shen Chung

This study examines the cross-sectional determinants of the price reaction to analysts’ recommendations disseminated through various type of media and for firms listed in Taiwan stock markets. We measure abnormal returns using the market model of event study. Based on the type of media (traditional media/social media) and the type of exchange (Taiwan Stock Exchange (TWSE)/Taipei Exchange (TPEx)), we classify the combined sample observations into four samples and run quantile regressions to investigate whether the relation will be uniform across various quantile levels. Our results show that the relation between firm characteristics and cumulative abnormal returns is not homogeneous across various quantiles of abnormal returns. Our evidence indicates that in general the relation tends to be stronger for firms at higher performance quantile levels and tends to be more pronounced for TWSE firms. The strongest relation is found for the Traditional/TWSE sample, where the abnormal returns are positively related to insider ownership and prior-period earnings, and negatively related to institutional shareholding and price-to-book ratio for firms in the highest abnormal performance quantile.


2021 ◽  
Author(s):  
Chulwoo Han

This paper documents the bimodality of momentum stocks: both high- and low-momentum stocks have nontrivial probabilities for both high and low returns. The bimodality makes the momentum strategy fundamentally risky and can cause a large loss. To alleviate the bimodality and improve return predictability, this paper develops a novel cross-sectional prediction model via machine learning. By reclassifying stocks based on their predicted financial performance, the model significantly outperforms off-the-shelf machine learning models. Tested on the U.S. market, a value-weighted long-short portfolio earns a monthly alpha of 2.4% (t-statistic = 6.63) when regressed against the Fama–French five factors plus the momentum and short-term reversal factors. This paper was accepted by Kay Giesecke, finance.


2018 ◽  
Vol 184 ◽  
pp. 04009
Author(s):  
Ciprian Cristea ◽  
Maria Cristea

Cash conversion cycle is considered one of the most important measures of management effectiveness, especially the cash flow and liquidity management. This study examines the relationship between cash conversion cycle and corporate profitability for the non-financial companies, from several industries, listed on the Bucharest Stock Exchange for a period of fifteen years from 2002 to 2016. The findings from a cross sectional multiple regression analysis pointed out a negative relationship between cash conversion cycle and the performance of firms. Based on the results from this paper it has been concluded that managers can improve the profitability of their firms by decreasing the number of days in cash conversion cycle.


2020 ◽  
Vol 4 (2) ◽  
pp. 216
Author(s):  
Maya Novethesia ◽  
Ricky Sanjaya ◽  
Farah Margaretha

Penelitian ini dilakukan untuk menguji kendala keuangan dan saling ketergantungan dalam keputusan keuangan. Sampel yang digunakan dalam penelitian ini adalah perusahaan pada sektor consumer goods yang go public dan terdaftar di Bursa Efek Indonesia (BEI) periode 2014-2018. Terdapat 24 perusahaan swasta yang dapat diteliti setelah dilakukan purposive sampling. Arus kas sebagai variabel dependen yang diukur dengan pengeluaran modal, perubahan kas, dividen, perubahan hutang jangka pendek dan panjang dan total aset. Investasi, kas, dan hutang sebagai variabel independen yang diukur menggunakan aktiva tetap bersih, kas, hutang jangka pendek dan panjang, perubahan dalam modal kerja, dividen, nilai pasar dan total aset. Sedangkan arus kas perusahaan dan resiko operasional perusahaan sebagai variabel moderasi. Penelitian ini menggunakan metode least square dan uji individu (uji-t). Hasil penelitian ini menunjukkan bahwa investasi, kas, dan hutang berpengaruh positif terhadap arus kas perusahaan. Implikasi dari penelitian ini bagi manajer keuangan agar perlu memperhatikan jumlah hutang perusahaan karena sangat berpengaruh terhadap arus kas perusahaan. Bagi peneliti selanjutnya sebaiknya menggunakan perusahaan pada sektor lain.  This research was conducted to support finance and interdependence in financial decisions. The sample used in this study was companies in the consumer goods sector that went public and were listed on the Indonesia Stock Exchange (IDX) for the 2014-2018 period. There are 24 companies that can be issued after purposive sampling. Cash flow as the dependent variable needed with capital, cash changes, dividends, short-term loans and total assets. Investment, cash, and debt as independent variables using fixed bonds, cash, short and long term loans, changes in working capital, dividends, market value and total assets. While the company's cash flow and company operational risk as a moderating variable. This research uses the quadratic method and individual test (t-test). The results of this study prove that investment, cash, and loans are positive towards the company's cash flow. The implications of this study for financial managers need to be considered by the number of companies because they need to be considered for the company's cash flow. For further researchers need to use companies in other sectors.


2018 ◽  
Vol 5 (1) ◽  
pp. 34-49
Author(s):  
Dean Subhan Saleh

This research aims to determine the influences of operating capacity, operating cash flow and variable cost to the possibility of companies experiencing financial distress. Currently, we can see the textile and garment industries, were all having profit descreased year by year. If its left constantly and continously, then the company will be at risk of facing financial distress condition. Financial distress is a condition that describes the downturn of corporate performance, so that they are having financial trouble full filling their short term liabilities. Population of this research are manufactured companies on textile and garment’s sectors listed on the Indonesian’s Stock Exchange 2009-2016 periods. By sampling defined with purposive sampling’s methods, there are 10 companies, selected as the research’s samples. And this research using regretions logistics analysis method on SPSS version 23. This research finally conclude that operating capacity significantly by positive having affects to the possibility of companies to suffer financial distress. Operating cash flow significantly by negative having affect to the possibility of companies to suffer financial distress and variable cost significantly by positive having affect to the possibility of companies to suffer financial distress.   Keywords : operating capacity, operating cash flow, variable cost, financial distress.  


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