:::

詳目顯示

回上一頁
題名:景氣指標對獲利能力持續性之門檻效果
作者:蔡孟樺
作者(外文):Meng-Hua Tsai
校院名稱:中原大學
系所名稱:商學博士學位學程
指導教授:吳博欽
學位類別:博士
出版日期:2018
主題關鍵詞:縱橫平滑轉換自我迴歸模型景氣對策訊號獲利能力持續性與穩定性Panel smooth transition autoregression modelBusiness Monitoring IndicatorsProfitabilityPersistence and Stability
原始連結:連回原系統網址new window
相關次數:
  • 被引用次數被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:0
  • 共同引用共同引用:0
  • 點閱點閱:3
金融機構發展與國家經濟發展具有密不可分的關係,且對經濟成長與資本累積具有一定的成效。公司的獲利能力可以反映其經營成果,而獲利能力的持續性則有助於公司的永續經營。
本研究建構縱橫平滑轉換自我迴歸模型 (panel smooth transition autoregression model ,PSTAR) ,探討景氣對策信號分數對台灣金融控股公司的資產報酬率、股東權益報酬率與每股盈餘及其持續性的非線性與依時變動的門檻效果。實證上,以台灣上市 (櫃) 的13家金融控股公司為對象,樣本期間為2008年 Q2 到 2017 年 Q3的縱橫季資料,共計494個觀察值。
實證結果歸納如下﹕
(一)ROA 、 ROE 、 EPS 的持續性與穩定性相當類似,且隨各期的景氣對策信號分數的變動而改變。換言之,三種獲利能力的持續性與穩定性均是隨著各期的景氣分數而變動。
(二)ROA 、 ROE 、 EPS 的走勢呈現平滑轉換的現象,且移轉的門檻值均在剛脫離綠燈而甫進入黃紅燈的 32 分附近,顯示採用 PSTAR 模型估計三種獲利能力平滑轉換的健全性。
(三)在低景氣對策信號分數下, EPS 的持續性高於 ROE ,且 ROE 的持續性高於 ROA 。換言之,在景氣較低迷的階段,以 EPS 的穩定性最高。
(四)在景氣較佳的黃紅燈或紅燈下,仍以 EPS 的持續性最高, ROA 次之, ROE 最低。儘管如此, EPS 的持續性仍僅有 0.271 ,亦即仍有 72.9 % 的當期 EPS 受當期外生干擾的影響。換言之,在景氣較佳時,業者應隨時注意外在環境變遷對三者的衝擊,並嘗試提昇三者的持續性與穩定性。
由實證結果所衍生的政策建議如下:
(一)對於金融股的投資者而言,應該依各期的景氣對策信號分數逐期估計該三種獲利能力及其持續性與穩定性,以獲得更正確獲利能力預估值,並進行相關的投資。
(二)金融監理單位與金融控股公司必須更關注當期隨機衝擊對當期 ROA 與 ROE 的干擾,並調整貨幣政策或資產與負債結構,以提升獲利能力的持續性,進而維持盈餘品質。
(三)在以景氣指標作為轉換變數時,多數的情況下, EPS 的持續性或穩定性大於 ROA 與 ROE ,故投資人可選擇每股盈餘作為評估獲利能力穩定性的基礎。
(四)由於 ROA 、 ROE 及 EPS 的持續性均隨各期的景氣對策信號分數的變動而改變。然而當期負面的外生干擾對當期獲利能力的影響仍大,故金融監理單位與金融控股公司更應加強對金融控股公司的監督,以免因獲利能力持續性轉弱,進而形成金融危機。
The development of financial institutions can boost economic growth and capital accumulation, which are significantly correlated with national economic development. Corporate profitability reflects the operating results of enterprises, and the persistence of the profitability is beneficial to a company’s sustainable development.
This study constructs a panel smooth transition autoregression (PSTAR) model to explore the nonlinear and time-varying threshold effects of the Taiwan Business Monitoring Indicators on return on assets (ROA), return on equity (ROE), and earnings per share (EPS) and their persistence. The empirical estimation is conducted using a panel data of 13 financial holding companies listed on Taiwan stock market between 2008:Q2 and 2017:Q3.
The empirical results are summaried as follows:
(1)The characteristics of the persistence and stability in ROA, ROE, and EPS are similar, and the persistence varys with the change in the Business Monitoring Indicators. In others words, the persistence and stability of these three profitability changes with each periods Business Monitoring Indicators.
(2)The processes of ROA, ROE, and EPS display a smooth transition path. The transition thresholds of the ratios are approximately 32 points when the business light signals change from green to yellow-red, which reveals the robustness of the PSTAR model for estimating the smooth transitions of the three profitability ratios.
(3)The persistence and stability of EPS are the highest when the scores of the monitoring indicators are low, followed by those of ROE and then ROA. The results reveal that EPS has the highest stability when the economic climate is comparatively tough.
(4)The persistence and stability of EPS are also the highest when the economic climate is comparatively favorable (i.e., when the business light signals are yellow-red and red), followed by those of ROA and then ROE. However, the persistence of EPS is only 0.271, which means that 72.9% of the current EPS is affected by the current exogenous disturbances. The abovementioned results suggest that enterprises should always be alert to the impacts of environmental changes on the three profitability ratios and should increase their persistence and stability when the economic climate is favorable.
According to the above empirical results, we propose the following suggestions:
(1)Current investors are advised to consider the Business Monitoring Indicators every quarter when estimating the profitability of listed financial holding companies and the persistence and stability of the three profitability ratios. By doing so, investors can accurately evaluate profitability when making investment decisions.
(2)Financial regulators and financial holding companies must change monetary policies and asset-and-liability structures to mitigate the disturbances of current random shocks on the current ROA and ROE, thereby increasing the persistence of profitability and maintaining earnings quality.
(3)When the Business Monitoring Indicators serve as a transition variable, the persistence and the stability of EPS are primarily higher than those of ROA and ROE. Thus, EPS can be a beneficial fundamental for investors when evaluating the stability of profitability.
(4)Although changes in the persistence of ROA, ROE and EPS vary with the Business Monitoring Indicators; current negative external shocks have considerable impacts on the current profitability. Thus, financial regulators and financial holding companies are suggested to reinforce the supervision and management of such companies to prevent financial crises when the persistence of profitability is weakened.
Agostino, M., Leonida, L., and Trivieri, F. (2005). Profits persistence and ownership: evidence from the Italian banking sector. Applied Economics, 37, 1615-1621.
Ar, I.M., and Kurtaran, A. (2013). Evaluating the relative efficiency of commercial banks in turkey: an integrated AHP/DEA approach. International Business Research, 6(4), 129-146.
Aslan, A., Kula, F., and Kaplan, M. (2010). New evidence on the persistence of profit in turkey with first and second generation panel unit root tests. Middle East Technical University Studies in Development, 37(1), 25-40.
Athanasoglous, P.P., Brissimis, S.N., and Delis, M.D. (2008). Bank-specific, industry-specific and macroeconomic determinants of bank profitability. Journal of International Financial Markets Institutions and Money, 18, 121-136.
Binswanger, M. (2000). Stock market booms and real economic activity:Is this time different? International Review of Economics and Finance, 9, 387-415.
Cabral, R. (2012). A perspective on the symptoms and causes of the financial crisis. Journal of Banking & finance, 37,103–117.
Chang, C.J. (2015). Three essays on foreign direct investment. Chung Yuan Christian University PhD program in Business doctoral dissertation.
Chao, M.T. (2006). Research on the profitability performance of Taiwan banks. Master’s thesis, Graduate Institute of Industrial Economics, National Central University. (in Chinese)
Chen, M.C., and Patel, K. (1998). House price dynamics and granger causality: an analysis of Taipei new dwelling market. Journal of the Asian Real Estate Society, 1(1), 101-126.
Chen, Z.H. (1996). Analysis of the correlation between macroeconomic factors and stock index. Master’s thesis, Business Administration, National Taiwan University. ( in Chinese)
Chen, H.C. (2015). Change in cash: persistence of earning and market pricing. Master’s thesis, Department of Accounting, National Taiwan University. (in Chinese)
Chen, M.C., and Patel, K. (1998). House price dynamics and granger causality:an analysis of Taipei New dwelling market. Journal of the Asian Real Estate Society, 1(1), 101-126.
Chen, S.W. (2000). Modeling business cycles in Taiwan with time-varying markov-switching models. Doctoral dissertation, Department of Economics, National Chengchi University. (in Chinese)
Chen, W.H. (2009). Relationships between unsystematic earnings and expected stock returns of listed companies in Taiwan. Master’s thesis, Department of Finance, Feng Chia University. (in Chinese)
Chen, Y.L. (2015). Effects of business cycle on private placement and earnings persistence. Master’s thesis, Department of Accounting, National Chengchi University. (in Chinese)
Cheng, C.H. (2010). Earnings persistence in nonlinear models and accounting conservatism. Doctoral dissertation, Department of Accountancy, National Taipei University. (in Chinese)
Cheng, C.H., and Wu P.C. (2013). Nonlinear earnings persistence. International Review of Economics and Finance, 25, 156-158.
Chiang, W.M. (2008). Business cycle and style investment strategies. Master’s thesis, Department of Finance, National Yunlin University of Science and Technology. (in Chinese)
Chien, H.I. (2017). Threshold effects of interest rate and exchange rate on systematic and unsystematic earnings persistence. Master’s thesis, Department of International Business, Chung Yuan Christian University. (in Chinese)
Cohen, D.,and Zarowin, P. (2007). Earnings management over the business cycle. SSRN Working Paper, Stern School of Business of New York University.
Dechow, P.M., and Ge, W. (2006). The persistence of earnings and cash flows and the role of special items: Implications for the accrual anomaly. Review of Accounting Studies, 11(2-3), 253-296.
Dechow, P.M., Ge, W., and Schrand, C. (2010) .Understanding earnings quality: a review of the proxies, their determinants and their consequences. Journal of Accounting and Economics, 50 (2-3), 344-401.
Demerjian, P., Lewis, M., Lev, B., and McVay, S. (2013). Managerial ability and earnings quality. Accounting Review, 88 (2), 463-498.
Dichev, I.D., and Tang, V.W. (2009). Earnings volatility and earnings predictability. Journal of Accounting and Economics, 47(1-2), 160-181.
Dickey, A.D., and Fuller, W.A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74, 427-31.
Diks, C., and Panchenko, V. (2006). A new statistic and practical guidelines for non-parametric granger causality testing .Journal of Economics Dynamics and Control, 30, 1647-1669.
Fama, E.F. (1970). Efficient capital markets: a review of theory and empirical work. Journal of Finance, 25(2), 383-417.
Ferrier, G.D., and Lovell, C.A.K. (1990). Measuring cost efficiency in banking – econometric and linear – Programming evidence. Journal of Econometrics, 4, 229-245.
Fok, D., van Dijk, D., and Franses, P. (2004). A multi-level panel STAR model for US manufacturing sectors. Working paper, University of Rotterdam.
Fouquau, J., Hurlin, C., and Rabaud, I. (2008). The Feldstein–Horioka puzzle: a panel smooth transition regression approach. Economic Modeling, 25, 284-299.
Geng, N. (2011). The dynamics of market structure and firm-level adjustment to India''s pro-market economic liberalizing reforms, 1988–2006: a time varying panel smooth transition egression (TV-PSTR) approach. International Review of Economics and Finance, 20, 506-519.
Goddard, J., Liu, H., Molyneux, P., and Wilson, O.S.J. (2011). The persistence of bank profit. Journal of Banking and Finance, 35(11), 2881-90.
Goffe, W.L., Ferrier, G.D., and Rogers J. (1994). Global optimization of statistical functions with simulated annealing. Journal of Econometrics, 60, 65-99.
González, A., Teräsvirta, T., van Dijk, D., and Yang, Y. (2017). Panel smooth transition regression Models. CREATES Research Paper 36.
Granger, C.W.J., and Newbold, Q.P. (1974). Spurious regressions in econometrics. Journal of Econometrics, 2, 111–120.
Gregory, A.W., and Hansen, B.E. (1996). Residual-based test for cointegration in model with regime shifts. Journal of Economics, 70, 99-126.
Hansen, B.E. (1999). Threshold effects in non-dynamic panels: estimation, testing and Inference. Journal of Econometrics, 93, 345-368.
Hiemstra, C., and Jones , J.D. (1994). Testing for linear and non-linear Granger causality in the stock price-volume relation. Journal of Finance, 49, 1639-1664.
Hirschey, M., Richardson, V.J., and Scholz, S. (2001). Value relevance of nonfinancial information: the case of patent data. Review of Quantitative Finance and Accounting, 17, 223–235.
Hsieh, C., and Lee, S.H. (2015). The nonlinear relationship between accruals persistence and accounting conservatism. Journal of Accounting Review, 60, 35-71.
Hsieh, W.H. (2008). The study of relationship between Taiwan stock index and macroeconomic variables. Master’s thesis, Department of Business Administration, National Cheng Kung University. (in Chinese)
Hsueh, H.P. (2011). The relationship among the monitoring indicators, OTC index, and OTC fund. Master’s thesis, Department of Money and Banking, National Kaohsiung First University of Science and Technology. (in Chinese)
Huang, C.W. (2015). The effects of business cycle and foreign exchange rate on stock prices: an application of nonlinear Ohlson valuation model. Master’s thesis, Department of International Business, Chung Yuan Christian University. (in Chinese)
Huang, C.H. (2007). Applying artificial neural network to predict business cycle in Taiwan. Master’s thesis, Institute of Information Management, National Chiao Tung University. (in Chinese)
Huang, Y.Y. (2016). The nonlinear causal relationship between the actual price registration system and house index: the role of the economic monitoring indicator scores. Master’s thesis, Department of International Business, Chung Yuan Christian University. (in Chinese)
Hughes, J.P., and Mester, L.J. (2013). Measuring the performance of banks: theory, practice, evidence, and some policy implications. Federal Reserve Bank of Philadelphia, Working Paper, No. 13-31.
Im, K.S., Pesaran, M.H., and Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115 (1), 53-74.
Irungu, P. (2013). Effect of financial performance indicators on market price of shares in commercial banks of Kenya. IJMBS, 3(3), 57-60.
Jatoi, M.Z., Shabir, G., Hamad, N., Iqbal, N., and Muhammad, K. (2014). A regresional impact of earning per share on market value of share: a case study in cement industry of Pakistan. International Journal of Academic Research in Accounting, Finance and Management Sciences, 4(4), 221-227.
Jude, E.C. (2010). Financial development and growth: a panel smooth regression approach. Journal of Economic Development, 35(1), 15-33.
Kadilli, A., and Markov, N. (2012). A panel smooth transition regression model for the determinants of inflation expectations and credibility in the ECB and the recent financial crisis. Working Paper, 1-40.
Kambahampati, U.S. (1995). The persistence of profit differentials in Indian industry. Applied Economics, 27, 353-361.
Kaplan, M., and Çelik, T. (2008). The persistence of profitability and competition in the Turkish banking sector. Erciyes Universitesi Iktisadi İdari Bilimler Fakultesi Dergisi, 30, 157-167.
Keeley, M.C. (1990). Deposit insurance, risk, and market power in banking. American Economic Review, 80, 1183-1200.
Kim, M., and Kross, W. (2005). The ability of earnings to predict future operating cash flows has been increasing-not decreasing. Journal of Accounting Research, 43(5), 753-780.
Knapp, M., Gart, A., and Chaudhry, M. (2006). The impact of persistence and mean reversion of bank profitability on post-merger performance in the banking industry. Journal of Banking & Finance, 30, 3503–3517.
Kormendi, R., and Lipe, R. (1987). Earnings innovations, earnings persistence, and stock returns. Journal of Business, 60(3), 323-345.
Kuan, C.M., Hsu, C.C., Huang, Y.L., and Hsu, S.H. (2014). Taiwan''s financial conditions index and its relation with the macroeconomy. Taiwan Economic Forecast and Policy, Institute of Economics. Academia Sinica, 44(2), 103-132. (in Chinese)
Lee, S.L., and Chen, H.W. (2002). Discussion of the leading and coincident indicators in Taiwan. National Development Council, Executive Yuan, 22. (in Chinese)
Lee, W.C., and Kuo, C.C. (2012). Research on the relationship between bank business performance and business index- the application of QR (quantile regression). Taiwan Bank Quarterly, 63(2), 3-4. (in Chinese)
Levanon, G. (2010). Evaluating and comparing leading and coincident economic indicators. Business Economics, 45(1), 16-27.
Levin, A., Lin, C.F., and Chu, C.C.J. (2002). Unit root in panel data: asymptotic and finite-sample properties. Journal of Econometrics, 108(1), 1-24.
Lippman, S.A., and McCall, J.J. (1976).The Economics of job search: a survey. Economic Inquiry, 14, 347-468.
Levine, R. (1991). Stock markets, growth, and tax policy. Journal of American Finance Association, 46(4), 1445-65.
Li, F. (2008). Annual report readability, current earnings, and earnings persistence. Journal of Accounting and Economics, 45 (2-3), 221-247.
Li, Q., Wang, H., and Rong, X. (2013). Firm earnings persistence over the business cycle: evidence from listed companies in China. China Accounting and Finance Review, 15(4), 166-203. (in Chinese)
Lin, X., and Chen, H. (2005). Growth, earnings management, and accrual persistence. China Accounting Review, 3 (1), 117-142.
Lin, Y.C. (2016). Influence of monitoring indicator to the price of financial and insurance stocks. Master’s thesis, Department of International Business, National Kaohsiung University of Applied Science. (in Chinese)
Luukkonen, R., Saikkonen, P., and Teräsvirtatesting, T. (1998). Linearity against smooth transition autoregressive models. Biometrika, 75(3), 491-499.
Maddala, G.S., and Wu, S. (1999). A comparative study of unit root tests with panel data and a new simple test. Oxford Bulletin of Economics and Statistics, 61, 631-652.
Marcus, A.J. (1984). Deregulation and bank financial policy. Journal of Banking & Finance, 8(4), 557-565.
McGahan, A.M., and Porter, M.E. (1999). The persistence of shocks to profitability. Review of Economics and Statistics, 81, 143-153.
McMillan, D. (2001). Nonlinear predictability of stock market returns: evidence from nonparametric and threshold models. International Review of Economics and Finance, 10, 353-368.
Menaje, P. (2012). Impact of selected financial variables on share prices of publicly listed firms in the Philippines. American International Journal of Contemporary Research, 2( 9), 98-104.
Mueller, D.C. (1986). Profits in the long run. Cambridge University Press, Cambridge.
Nikkinen, J., and Sahlström, P. (2001). Impact of scheduled U.S. macroeconomic news on stock market uncertainty: a multinational perspective. Multinational Finance Journal, 5, 129-148.
Nwaeze, E., Yang, S., and Yin, Q.J. (2006). Accounting information and CEO compensation: the role of cash flow from operations in the presence of earnings. Contemporary Accounting Research, 23 (1), 227-265.
Odedokun M.O. (1996). Alternative econometric approaches for analysing the role of the financial sector in economic growth: time-series evidence from LDCs. Journal of Development Economics, 50(1), 119-146.
Pan, S.C., Liu, S.Y., and Wu, P.C. (2014). Re-testing the tourism-led growth hypothesis using panel smooth transition regression models. Tourism Economics, 20, 39-50.
Peng, S., Huang, Y., and Zhao, G. (2008). Information reliability, enterprise growth, and accounting earnings persistence. Accounting Research, 3, 43-50.
Pesaran, M.H., Shin Y., and Smith, R.J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16, 289-326.
Porta, R.L., Silanes, F.L., and Shleifer, A. (2002). Government ownership of banks. The Journal of Finance, 57(1), 265-301.
Preinreich, G.A.D. (1938). Annual survey of economic theory: the theory of depreciation. Econometrica, 6, 219–31.
Ryan, G., and Shinnick, E. (2011). Real economic activity leading indicators: should we have paid more attention ? Journal of Economic Policy Reform, 14(2), 105-125.
Said, E., and Dickey, D. (1984). Testing for unit roots in autoregressive moving average models of unknown order. Biometrika, 71(3), 599-607.
Sambracos, E. (2015). Efficiency evaluation of European financial cooperative sector: a data envelopment analysis approach. International Journal of Academic Research in Accounting, Finance and Management Sciences, 5(4), 11-21.
Schumacher, K., and Boland, M.A. (2005). The persistence of profitability among firms in the food economy. American Journal of Agricultural Economics, 87(1), 103-115.
Sealey, C.W., and Lindley, J.T. (1977). Inputs, outputs, and a theory of production and cost at depository financial institutions. The journal of finance, 32(4), 1251-1266.
Seleteng, M., Bittencourt, M., and Eyden, R.V. (2013). Non-linearities in inflation–growth nexus in the SADC region: a panel smooth transition regression approach. Economic Modelling, 30, 149-156.
Singapore Department of Statistics (2004). Singapore’s growth chronology, coincident and leading indicators. Information Paper on Economic Statistics.
Singh, P.K., and Thaker, K. (2016). Dynamics of scale efficiency of Indian banks: a deterministic frontier approach. Journal of Developing Areas, 50(3), 437-457.
Sloan, R.G. (1996). Do stock prices fully reflect information in accruals and cash flows about future earnings? The Accounting Review, 71(3), 289-315.
Springler, E. (2005). Financial liberalization, stock markets and growth in economies with underdeveloped financial markets. European Political Economy Review, 3(2), 53-86.
Stewart, C., Matousek, R., and Nguyen, T.N. (2016). Efficiency in the Vietnamese banking system: a DEA double bootstrap approach. Research in International Business and Finance, 36, 96-111.
Stock, J.H., and Watson, M.W. (1989). New Indexes of coincident and leading economic indicators. NBER Macroeconomic Annual Report.
Strobl, G. (2013). Earnings manipulation and the cost of capital. Journal of Accounting Research, 51 (2),499-473.
Su, M.J. (2011). A study of the effect of the business indicators on stock returns – approach by panel smooth transition regression model. Master’s thesis, Department of Banking and Finance, Tamkang University. (in Chinese)
Tarziján, J., and Eylerts, I. (2010). Persistence of profitability in Latin America: explaining the differences among countries, industries and firms. Academia, Revista Latinoamericana de Administración, 44, 99-114.
Teräsvirta, T. (1994). Specification, estimation and evaluation of smooth transition autoregressive models. Journal of the American Statistical Association, 89, 208-218.
Teräsvirta, T. (1998). Modelling economic relationships with smooth transition regressions in handbook of applied economic statistics. ed. by A. Ullah and D. E. A. Giles, New York: Marcel Dekker, 507-552.
Terasvirta, T., and Anderson, H.M. (1992). Characterizing nonlinearities in business cycles using smooth transition autoregressive models. Journal of Applied Econometrics, 7, 119-136.
Thanassoulis, E., Boussofiane, A., and Dyson, R.G. (1996). A comparison of data envelopment analysis and ratio analysis as tools for performance assessment. Omega, 24(3), 229-244.
Tiao, G.C., and Tsay, R.S. (1984). Consistent estimates of autoregressive parameters and extended sample autocorrelation function for stationary and nonstationary ARMA models. Journal of the American Statistical Association, 79, 84-96.
Tomy, R. E. (2012). Earnings persistence over the business cycle. SSRN Working Paper, Stanford University.
Tsai, P.S. (2014). Relationships between economic indicators and stock prices. Master’s thesis, Department of Finance, National Chung Cheng University. (in Chinese)
Tsai, N. (2011). The effect of business monitoring indicators and cash flow management on firm performance: evidences from construction industry in Taiwan. Master’s thesis, Department of Accounting, Tunghai University. (in Chinese)
Tseng, C.L. (2011). The influence of macroeconomic variables on soundness and financial performance – empirical evidence from Taiwan’s listed financial holding companies. Master’s thesis, Department of International Business, Chung Yuan Christian University. (in Chinese)
Umar, M.S., and Musa, T. (2013). Stock prices and firm earning per share in Nigeria. Jorind, 11(2), 1596 - 8303.
Wang, Y., and Liu, Q. (2006). Comparison of akaike information criteria (AIC) and bayesian information criteria (BIC) in Selection of stock recruitment relationships. Fisheries Research, 77, 220-225.
Wu, C. (2012). Constructing a multivariate time-series prediction model for weighted index of Taiwanese stock market using business monitoring indicators. Master’s thesis, Department of Industrial Engineering and Management, National Chia Tung University. (in Chinese)
Wu, P.C., and Chen, C.L. (2000). Empirical analysis on the warning indicators for monetary crises in Taiwan. Taiwan Economic and Financial Monthly, 2, 24-33. (in Chinese)
Wu, P.C., Shen, C.W., and Pan, S.C. (2009). Nonlinear adjustment, arbitrage and economic value predictability of exchange rate. Journal of Social Sciences and Philosophy, 21(1), 101-142.
Wu, P.C., Liu, S.Y., and Wang, K.B. (2017). Does unemployment matter for lottery sales and their persistence? a new estimation approach. Social Indicators Research, 130, 581-592.
Wu, P.C., Pan, S.C., and Tai, X.L. (2015) . Non-linearity, persistence and spillover effects in stock returns: the role of the volatility index. Empirica, 42, 597-613.
Wu, P.C., Liu, S.Y., and Pan, S.C. (2013).Nonlinear bilateral trade balance-fundamentals nexus: a panel smooth transition regression approach. International Review of Economics and Finance, 27, 318–329.
Xie, H. (2001). The mispricing of abnormal accruals. The Accounting Review, 76, 357-373.
Yakob, R., Yusop, Z., Radam, A., and Ismail, N. (2014). Two-stage DEA method in identifying the exogenous factors of insurers’ risk and investment management efficiency. Journal of Sains Malaysian, 43(9), 1439-1450.
Yurtoglu, B.B. (2004). Persistence of firm-level profitability in Turkey, Applied Economics, 36, 615–625.
Zhai, R.X. (2017). Nonlinear impacts of demand management policy, monopoly power and leverage ratio on the U.S. commercial banks'' operating performance: The Role of Leading Indicator. Master’s thesis, Department of International Business, Chung Yuan Christian University. (in Chinese)
Zhou, L., and Zhu, S. (2017). Research on the efficiency of Chinese commercial banks based on undesirable output and super-SBM DEA model. Journal of Mathematical Finance, 7(1), 102-120.
 
 
 
 
第一頁 上一頁 下一頁 最後一頁 top