Company Performance, Investment Decision, and Cyclical Sensitivity: A Dynamic Estimation on Company Microdata

References

• Aghion, P., G.-M. Angeletos, A. Banerjee, and K. Manova. 2010. “Volatility and Growth: Credit Constraints and the Composition of Investment.” Journal of Monetary Economics 57: 246–265.
   Web of Science ®Google Scholar
• Aghion, P., N. Berman, L. Eymard, P. Askenazy, and G. Cette. 2012. “Credit Constraints and the Cyclically of R&D Investment: Evidence from France.”. Journal of the European Economic Association 10, no. 5: 1001–24.
   Web of Science ®Google Scholar
• Aghion, P., P. Howitt, and C. Garca-Pealosa. 1998. Endogenous Growth Theory. MIT Press.
   Google Scholar
• Akbar, S., S. Rebjriati, and P. Ormrod. 2013. “The Impact of Recent Financial Shocks on the Financing and Investment Policies of UK Private Firms.” International Review of Financial Analysis 26: 59–70.
   Web of Science ®Google Scholar
• Altman, E. I. 1968. “Financial Ratios, Discriminant Analysis, and the Prediction of Corporate Bankruptcy.” Journal of Finance 23, no. 4: 589–609.
   Web of Science ®Google Scholar
• Altman, E. I., and P. Narayanan 1997. “An International Survey of Business Failure Classification Models.” Financial Markets, Institutions and Instruments 6, no. 2: 1–157.
   Google Scholar
• Arellano, M., and S. Bond 1991. “Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations.” Review of Economic Studies 58: 277–297.
   Web of Science ®Google Scholar
• Arellano, M., and O. Bover, 1995. “Another Look at the Instrumental Variables Estimation of Error Components Models?” Journal of Econometrics 68: 29–51.
   Web of Science ®Google Scholar
• Aziz, A., and A. Dar, 2006. “Predicting Corporate Bankruptcy: Where We Stand?” Corporate Governance 6, no. 1: 18–33.
   Google Scholar
• Aziz, A., D.C. Emanuel, and G.H. Lawson. 1988. “Bankruptcy Prediction—An Investigation of Cash Flow Based Models.” Journal of Management Studies 25, no. 5: 419–35.
   Web of Science ®Google Scholar
• Aziz, A., and G. H. Lawson, 1989. “Cash Flow Reporting and Financial Distress Models: Testing of Hypotheses.” Financial Management 18: 55–63.
   Web of Science ®Google Scholar
• Balcaen, S., and H. Ooghe. 2004, June. Thirty-Five Years of Studies on Business Failure: An Overview of the Classical Statistical Methodologies and Their Related Problems.” Working paper, Faculteit Economie en Bedrijfskunde, Universiteit Gent, No. 04/248.
   Google Scholar
• Barlevy, G. 2007. “On the Cyclicality of Research and Development.” American Economic Review 97: 1131–64.
   Web of Science ®Google Scholar
• Beaver, W. H. 1966. “Financial Ratios as Predictors of Failure.” Journal of Accounting Research 4: 71–111.
   Web of Science ®Google Scholar
• Bellovary, J., D. Giacomino, and M. Akers. 2007. “A Review of Bankruptcy Prediction Studies: 1930 to Present.” Journal of Financial Education 33: 1–42.
   Google Scholar
• Bhattacharjee, A., C. Higson, S. Holly, and P. Kattuman. 2009. “Macroeconomic Instability and Business Exit: Determinants of Failures and Acquisitions of Large UK Firms.” Economica 76: 108–31.
   Web of Science ®Google Scholar
• Blundell, R., and S. Bond, 1998. “Initial Conditions and Moment Restrictions in dynamic Panel Data Models.’’ Journal of Econometrics 87: 115–43.
   Web of Science ®Google Scholar
• Buca, A., and P. Vermeulen. 2012. “Corporate Investment and Bank-Dependent Borrowers during the Recent Financial Crisis.” Directorate General Research Monetary Policy Research Division European Central Bank, 1–36.
   Google Scholar
• Campello, M., E. Gkmbona, J. R. Graham, and C. R. Harvey, 2011. “Liquidity Management and Corporate Investment during a Financial Crisis.” Review of Financial Studies 24, no. 6: 1944–79.
   Web of Science ®Google Scholar
• Christidis, A. C.-Y. and A. Gregory. 2010. “Some New Models for Financial Distress Prediction in the UK.” University of Exeter Business School, Centre for Finance and Investment, Exeter, 10/04.
   Google Scholar
• Flagg, D., S. Kudrimoti, and S. Margetis. 2011. “Do Management Decisions Matter When Firms Are in Distress?” Review of Management Innovation and Creativity 4, no. 9: 1–19.
   Google Scholar
• Gentry, J. A., P. Newbold, and D. T. Whiiford, 1985a. “Predicting Bankruptcy: If Cash Flow’s Not the Bottom Line, What Is?” Financial Analysts Journal 41, no. 5: 47–56.
   Google Scholar
• Gentry, J. A., P. Newbold, and D. T. Whitford, 1985b. “Classifying Bankrupt Firms with Funds Flow Components.” Journal of Accounting Research 23, no. 1: 146–60.
   Web of Science ®Google Scholar
• Harris, M., and A. Raviv, 1991. “The Theory of Capital Structure.” The Journal of Finance 46, no. 1: 297–355.
   Web of Science ®Google Scholar
• Hubbard, G. R. 1998. “Capital-Market Imperfections and Investment.” Journal of Economic Literature 36, no. 1: 193–225.
   Web of Science ®Google Scholar
• Ivashina, V., and D. Scharfstein, 2010. “Bank Lending during the Financial Crisis of 2008.” Journal of Financial Economics 97, no. 3: 319–38.
   Web of Science ®Google Scholar
• Johnson, C. G. 1970. “Ratio Analysis and the Prediction of Firm Failure.” Journal of Finance 25: 1166–68.
   Google Scholar
• Kane, D. G., and V. M. Richardson, 2002. “The Relationship between Changes in Fixed Plant Investment and the Likelihood of Emergence from Corporate Financial Distress.” Review of Quantitative Finance and Accounting 18: 259–72.
   Google Scholar
• Keasey, K., and R. Watson, 1991. “Financial Distress Models: A Review of Their Userfulnss.” British Journal of Management 2, no. 2: 89–102.
   Google Scholar
• Laitinen, E. K. 2011. Modelling Cash-Flow Solvency: Search for Default Patterns, 2011 Rome: EAA,
   Google Scholar
• Maripuu, P., and K. Männasoo. 2015. “Financial Distress and Cycle-Sensitive Corporate Investments.” Baltic Journal of Economics 14, nos. 1–2: 181–193.
   Google Scholar
• McKee, T. E. 2003. “Rough Sets Bankruptcy Prediction Models versus Auditor Signailing Rates.” Journal of Forecasting 22: 569–89.
   Web of Science ®Google Scholar
• McKee, T. E., and T. Lensberg, 2002. “Genetic Programming and Rough Sets: A Hybrid Approach to Bankruptcy Classification.” European Journal of Operational Research 138: 436–51.
   Web of Science ®Google Scholar
• Min, J. H., and Y.-C. Lee, 2005. “Bankruptcy Prediction using Support Vector Machine (SVM) with Optimal Choice of Kernel Function Parameters.” Expert Systems with Applications 28: 603–14.
   Web of Science ®Google Scholar
• Mohamed, E. B., B., Amel and A. Bouri, 2013. “Investment Cash Flow Sensitivity and Managerial Optimism: A Literature Review via the Classification Scheme Technique.” The Review of Finance and banking 5, no. 1: 7–26.
   Google Scholar
• Männasoo, K., and J. Merikiill, 2014. “R&D, Credit Constraints, and Demand Fluctuations Comparative Microevidence from 10 New EU Members.” Eastern European Economics 52, no. 2: 49–64.
   Web of Science ®Google Scholar
• Park, C.-S., and I. Han, 2002. “A Case-Based Reasoning with the Feature Weights Derived by Analytic Hierarchy Process for Bankruptcy Prediction.” Expert Systems with Applications 23, no. 2: 255–64.
   Google Scholar
• Piramuthu, S., H. Ragavan, and M. J. Shaw. 1998. “Using Feature Construction to Improve the Performance of the Neural Networks.” Management Science 44, no. 3: 416–30.
   Google Scholar
• Ravi Kumar, P., and V. Ravi. 2007. “Bankruptcy Prediction in Banks and Firms via Statistical and Intelligent Techniques—A Review.” European Journal of Operational Research 180: 1–28.
   Web of Science ®Google Scholar
• Richardson, F, G. Kane, and P. Lobingier, 1998.” “The Impact of Recession on the Prediction of Corporate Failure.” Journal of Business Finance and Accounting 25, nos. 1–2: 167–86.
   Google Scholar
• Roodman, D. 2009. “How to Do Xtabond2: An Introduction to Difference and System GMM in Stata?” Stata Journal 9, no. 1: 86–136.
   Web of Science ®Google Scholar
• Shleifer, A., and R. W. Vishny, 1997. “A Survey of Corporate Governance.” Journal of Financed 52, no. 2: 737–83.
   Web of Science ®Google Scholar
• Schoder, C. 2013. “Credit vs. Demand Constraints: The Determinants of US Firmlevel Investment over the Business Cycles from 1977 to 2011?.” North American Journal of Economics and Finance 26: 1–27.
   Web of Science ®Google Scholar
• Taffler, R. 1983. “The Assessment of Company Solvency and Performance using a Statistical Models.” Accounting and Business Research 13, no. 52: 295–307.
   Google Scholar
• Verikas, A., Z., Kalsyte, M., Bacauskiene, and A. Gelzlnis. 2010. “Hybrid and Ensemble-Based Soft Computing Techniques in Bankruptcy Prediction: A Survey.” Soft Computing 14: 995–1010.
   Web of Science ®Google Scholar
• Windmeijer, F. 2005. “A Finite Sample Correction for the Variance of Linear Efficient Two-Step GMM Estimators.” Journal of Econometrics 126: 25–51.
   Web of Science ®Google Scholar