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Table 5: Firm characteristics by cash/assets quartiles

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Table 5: Firm characteristics by cash/assets quartiles

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Fecha de conversión24.11.2018
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Table 5: Firm characteristics by cash/assets quartiles


First Quartile 0 to .0091

Second Quartile .0043 to .0378

Third Quartile .0201 to .1204

Fourth Quartile .0762 to .9675







































































































































After carrying out the tests24 which confirm the unsuitability of the Pooled OLS model, the Hausman test concluded that there was evidence of correlation between individual effects and explanatory variables (chi^2= 572.33, p-value=0) therefore rejecting the random effects model. A within-groups estimator was be used to estimate the fixed effects model by applying the Ordinary Least Squares technique on the transformed model after subtracting the individual averages from all the variables. As the fixed effect model using the within estimation excludes the time-invariant variables, alternatively the between estimator will be used to show the explanatory capacity of the VOLCFLOW variable. This estimator runs an OLS regression on the mean values of each firm. In subsequent analyses and tests only the within estimator will be used.

The results for the models are presented in table 6. As observed, both estimations produce homogeneous results, showing similar levels of significance, signs and coefficients. The exception is the SIZE variable, which shows a level of significance of 0.05 in the within estimator and 0.01 with the between estimator. In a general analysis of the models, we observe that firms that are larger, more leveraged, where the greater proportion of debt is short-term and closer relationships are maintained with financing institutions, show lower cash holdings. It is also seen that firms with more liquid assets substituting cash holdings, greater capital expenditure and greater tangibility of assets present lower cash ratios. It also stands out that higher levels of cash-flow and its volatility are associated with higher levels of cash holdings. The models are clear in attributing a negative impact of the financial crisis on cash ratios, showing that the years of financial crisis, which still leave marks in the economies of the countries studied, are reflected in a reduced level of cash in the sample firms. Both models concur in not considering growth opportunities as a determinant of cash ratio.

Table 6: Regression results

Models 1 and 2 estimate “Within” and “Between” regressions respectively; Model 3 adds the quadratic term to the LEV variable; Model 4 includes interactions between independent variables and the CRISIS dummy; Model 5 removes the LEV and CAPEX variables; Model 6 excludes the observations with highest cash ratios (top decile); Model 7 used as the dependent variable CASH2, that is, the ratio of cash plus cash equivalents to total assets minus cash and cash equivalents; Model 8 replaces CFLOW for EBITDA; Model 9 replaces the CRISIS dummy with year dummies. P-values are based on clustered robust standard errors (by firm) to control for heteroskedasticity and autocorrelation, and are reported in parentheses. We report within R2 for all models.

Independent Variable

1 FE

2 BE

3- FE LEV^2

4- FE Interactions

5- FE Reduced-form

6- FE Decil



9- FE Dummy YEAR








































































































































































































































































The results obtained in Model 1 show that an increase of, for example, 0.10 in the LEV variable, ceteris paribus, determines a decrease of 1.01 percentage points in cash ratio25. Interpretation of this result has not been consensual. Inasmuch as leverage can serve as a proxy for access to debt, its substitute role is confirmed. An alternative explanation is put forward by Baskin (1987), who explains that the cost of opportunity of investing in liquidity increases for higher levels of leverage. A simpler explanation is supported by Pecking Order Theory which interprets diminishing cash ratios as a sign of internal sources of finance being exhausted, forcing the firm to turn to debt. From an agency cost perspective, it could also be added that this result would be expected inasmuch as more leveraged firms have more monitoring, avoiding the undesirable consequences of management's discretionary power. In general, the literature reports a relationship consistent with the one shown in this study26.

Applying a quadratic term to the debt ratio (model 3) reveals that the relationship between cash holdings and leverage is not linear. The coefficient of the LEV^2 variable is positive and significant, confirming the results of Guney, Ozkan, & Ozkan (2007) and Drobetz & Grüninger (2007). We conclude that the negative effect on cash ratio becomes less pronounced as the firm becomes increasingly leveraged.

The results of Models 1 and 2 show a negative relationship between substitute liquid assets and cash holdings, considering the negative and highly significant coefficient of the NWC variable, which shows that firms with greater net working capital present lower cash ratios27. Presenting, on average, negative values for net working capital, our results show that the greater the imbalance between current assets net of cash and current liabilities, the greater the cash holdings of lodging firms.

The negative and significant coefficient for the SIZE variable in Model 1 at 0.05 levels of significance and in Model 2 at 0.01 levels indicates some evidence of a negative influence of company size on cash holdings. As is found in the literature as a whole, the result supports the idea that large firms find it easier to obtain external finance (Whited, 1992; Fazzari & Petersen, 1993) or tend to be more diversified (Rajan & Zingales, 1995), which is reflected in less treasury risk28 (Titman & Wessels, 1988). Indeed, if large lodging firms have properties that are geographically dispersed, they will be less likely to experience financing difficulties.

Models 1 and 2 show positive but not significant coefficients for the GROWOP variable. This result, contrary to most of the literature that reveal a positive and significant relationship between the variables29 can be explained by the use of a proxy which, instead of controlling for future growth opportunities, captures current opportunities (D’Mello et al., 2008), these not influencing cash holdings.

The BANKR variable, negative and significant at 0.01 level, suggests that firms with more bank debt show lower cash ratios. The evidence is consistent with the idea that forming close relationships with financing institutions reinforces the firm's capacity to access debt (Ozkan & Ozkan, 2004) through reduced information asymmetry (Ferreira & Vilela, 2004). In addition, this may transmit positive information to the market regarding the firm's solvency (Ozkan & Ozkan, 2004). Free Cash-Flow Theory also supports the evidence obtained in that the greater monitoring carried out by financing institutions reduces management's discretionary power and the tendency to accumulate excessive cash holdings30.

The most unexpected result emerges with the STDEBT variable. The models show a strong negative relationship between short-term debt and cash ratio, through a negative and significant coefficient of the STDEBT variable, at a level of 0.01. The evidence reveals that lodging firms with a greater predominance of short-term debt maintain lower levels of cash. On the contrary, Trade-Off Theory forecasts a positive relationship because the predominance of debt of less than one year's maturity forces the firm, periodically, to renew existing lines of credit. The evidence does not corroborate the results of Bruinshoofd & Kool (2004), who obtained a positive relationship between the variables, nor those of García-Teruel & Martínez-Solano (2008), who found a negative relationship between long-term debt and cash holdings. The result obtained is unusual and reveals the nature of business in lodging firms. Unlike firms in other sectors, these will find it easier to renegotiate the maturity of short-term debt, perhaps because they are able to provide good collateral, avoiding investment in cash holdings as a precautionary motive.

The negative and significant coefficient associated with the CAPEX variable, at a level of 0.01, reflects a negative relationship between capital expenditure and level of cash holdings. This relationship, for which empirically there are differing results31, is supported by Pecking Order Theory, considering that firms prefer to use internal funds for financing.

Concerning the TANG variable, which shows a negative and highly significant coefficient, we find, for example, that an additional 0.10 in the TANG variable in Model 1, ceteris paribus, determines a reduction in cash ratio of 2.56 percentage points. The evidence, as in Drobetz & Grüninger (2007), supports Trade-Off Theory, since it favours the notion that firms with a great amount of tangibles could convert them into cash holdings when faced with serious financial difficulties. Furthermore, more tangible assets provide collateral which facilitates access to debt (Titman & Wessels, 1988). Unlike firms in other sectors, lodging firms have more collateral for access to external finance, diminishing the incentive to have cash holdings and increasing the incentive for debt, which explains why these firms will be more leveraged.

As expected, according to the Pecking Order Theory, the result for the CFLOW variable is positive and significant32 at a level of 0.01.

The result relating to the VOLCFLOW variable is also in agreement with what is forecasted, being positive and highly significant33. It is confirmed that greater volatility associated with firms' cash-flow leads to higher levels of cash and cash equivalents also in the accommodation sector.

An important and revealing result of the behaviour of the level of cash holdings in lodging firms was obtained through the negative relationship between the CRISIS variable and cash ratio. Both models clearly show this relationship to be negative, with a negative and highly significant coefficient, indicating that the years of financial crisis determined a reduction in cash levels. Theoretically, the opposite relationship between the variables would be foreseeable, since increased macroeconomic risk (Baum et al., 2006) should be an incentive to accumulate cash holdings. The empirical studies of Lian, Sepehri, & Foley (2011) with Chinese firms and Arslan, Florackis, & Ozkan (2006) with Turkish firms revealed that at times of crisis, namely the global financial crisis in the case of the former study, firms' cash level increases due to precautionary motives. We therefore register that both theoretically and empirically, the negative result obtained does not have great support, although it does not surprise us. During the financial crisis, firms face more credit restrictions (Ivashina & Scharfstein, 2010), including the refinancing of existing debt, which puts considerable pressure on the firm's finances.

Further analysis of the impact of crisis was attempted with Model 4 which incorporates interaction variables between the CRISIS variable and those of LEV, CAPEX, TANG and NWC34.

The results show that the coefficient of the LEV_CRISIS variable is positive and highly significant indicating an equal increase in leverage has a more negative impact outside the crisis period than during the crisis.

The coefficient of the TANG_CRISIS variable is positive and significant at a level of 0.01, which demonstrates that the overall effect of the TANG variable on the dependent variable, remaining clearly negative during the crisis, is now a determinant with less impact on cash ratio, but still exerting a strong influence on it. This change may be explained by the credit restrictions imposed even on firms with more tangibles.

The results show a positive and significant coefficient for the CAPEX_CRISIS variable. We can only hypothesize that firms wishing to keep their investment plans and anticipating difficulties in financing, increase cash levels, according to the precautionary motive. These results have strong implications since their initial negative economic impact is almost completely cancelled out by the positive relationship between capital expenditure and cash holdings during the crisis. This being so, the economic effect of capital expenditure on cash and cash equivalents during the crisis is close to zero.

In the case of the NWC_CRISIS variable, we estimated a positive and significant coefficient at a level of 0.05. Overall, the general effect of the NWC variable on the dependent variable remains negative and significant. However, the net working capital loses slightly the economic impact on the cash holdings. As in the accommodation sector firms keep few substitute liquid assets of cash holdings it is short-term debt that plays an important role in determining the value of the net working capital. Therefore, the explanation for the change in the relationship seems to be the greater impact of current debt rather than current assets (other than cash).

The model estimated with all the interaction variables simultaneously maintains the signs and significance of the variables used in Model 1.

5. Robustness tests

According to Opler et al. (1999) the simultaneous determination of decisions related to capital structure, investment and cash holding policy can make the estimation inconsistent. So we will test the robustness of the model omitting the LEV and CAPEX variables of Model 1, as they are proxies for leverage and investment. The results reported in Model 5 show that the signs and significance of the variables are maintained, except for the SIZE variable which is no longer significant. In Model 1 SIZE was seen to be one of the weakest variables in determining cash ratio, and so we conclude that the problem of joint determination of leverage, investment and cash holdings does not affect our results.

Another problem that can make estimation inconsistent is raised by the univariate analysis. As can be observed, firms in the 4th quartile of cash ratio have different characteristics from those in the 1st quartile and some variables do not have a linear behaviour between quartiles. If the results were being influenced by firms with high cash ratios, a new test of robustness can be carried out estimating the regression of Model 1 after excluding the observations that in each year were in the highest decile of cash ratio (Opler et al., 1999). The results of Model 6 show no significant changes. The SIZE variable becomes significant at a level of 0.01 and the CAPEX variable loses significance slightly, no longer being significant at a level of 0.05. The results, overall, appear to be robust.

Additional robustness tests were carried out by using alternative proxies for both the dependent variable and some independent variables, such as CFLOW and CRISIS. Model 7 uses the CASH2 proxy, Model 8 the EBITDA proxy and Model 9, to control for the temporal effects, uses year dummies rather than the CRISIS dummy. The results obtained for the new proxy used as dependent variable are consistent with our initial findings. Only the significance of the SIZE variable changes and, as in the other additional tests, it is no longer significant. The signs and significance related to the other variables are maintained, which allows us to conclude that using an alternative proxy for the dependent variable does not alter the main conclusions. In the same way, use of the EBITDA variable or the year dummies does little to change the initial conclusions, indicating the model's good level of consistency. Once again, the SIZE variable ceases to be significant and the other variables keep their significance and signs. The year dummies inserted corroborate the effect, already highlighted, of the financial crisis on cash ratio. From 2008, macroeconomic effects are seen to have a negative and significant impact (0.01) on cash level. The years of 2005 and 2006 had a positive and significant (0.01) effect on cash ratio.

In general, the robustness tests support the conclusions drawn from the initial models, despite emphasizing some weakness in the SIZE variable, which sometimes loses significance.

6. Conclusions

This study analyzed the determinants of cash holdings for the accommodation industry in Southern European countries (Spain, Greece, Italy and Portugal) using a sample of 5964 firms during the period 2003-2011.

We documented a significant fall in cash holdings in 2007 and 2008 when the lowest cash ratios were recorded in our sample period. In the following years, cash ratios remained close to these minimum levels, which would anticipate a negative effect of the financial crisis on cash levels in accommodation firms.

The results of a fixed effects panel data model and subsequent robustness tests suggest that larger, more leveraged companies, where most debt is short-term and better relationships are formed with financial institutions, present lower cash to assets ratios. Liquid asset substitutes, capital expenditure and asset tangibility (the most statistically significant variable) also have a negative effect on cash levels.

As expected, cash holdings are positively influenced by cash-flow and cash-flow volatility. These results are mostly in support of the transaction motive for holding cash and are in accordance with Pecking Order Theory.

We show a negative impact of the financial crisis on cash holdings and therefore do not identify a precautionary motive. Obviously, this evidence is somewhat expected as a consequence of the significant impact of the 2008 crisis on industry cash-flows, which decreased from 7.3% of total assets in 2003 to 3.45% in 2009. A distinctive feature of the accommodation industry seems to be the little importance of the precautionary motive as an incentive to accumulate cash. This is also visible in the negative relationship we find between leverage and short-term debt and cash and cash equivalents. The non-significant relationship between growth opportunities and cash holdings points to the same conclusion.

The model estimated with interaction variables shows a diminishing impact of some variables (leverage, tangibility, capital expenditure and net working capital) after 2008.

A motive of concern that our study revealed is the increased fragility of lodging firms in these countries, a joint effect of the economic and financial crisis and the traditional high leverage and low cash levels of the industry. Precautionary reasons seem to advice for higher cash holdings in this industry but as the impact of cash on performance is not consensual this would be a matter for future research.


Almeida, H., Campello, M., & Weisbach, M. S. (2004). The cash flow sensitivity of cash. The Journal of Finance, 59(4), 1777–1805.

Al-Najjar, B., & Belghitar, Y. (2011). Corporate cash holdings and dividend payments : Evidence from simultaneous analysis. Managerial and Decision Economics, 32(4), 231–241.

Arslan, Ö., Florackis, C., & Ozkan, A. (2006). The role of cash holdings in reducing investment–cash flow sensitivity: Evidence from a financial crisis period in an emerging market. Emerging Markets Review, 7(4), 320–338.

Baltagi, B. (2005). Econometric analysis of panel data (3 rd.). John Wiley & Sons.

Baskin, J. (1987). Corporate liquidity in games of monopoly power. The Review of Economics and Statistics, 69(2), 312–319.

Bates, T. W., Chang, C. (Henry), & Chi, J. D. (2011). Why has the value of cash increased over time? Working Paper (SSRN Electronic Library).

Bates, T. W., Kahle, K. M., & Stulz, R. M. (2009). Why do U . S . firms hold so much more cash than they used to ? The Journal of Finance, 64(5), 1985–2021.

Baum, C. F., Caglayan, M., Ozkan, N., & Talavera, O. (2006). The impact of macroeconomic uncertainty on non-financial firms’ demand for liquidity. Review of Financial Economics, 15(4), 289–304.

Baumol, W. J. (1952). The transactions demand fo cash: An inventory theoretic approach. The Quarterly Journal of Economics, 66(4), 545–556.

Bessler, W., Drobetz, W., Haller, R., & Meier, I. (2012). The international zero-leverage phenomenon. Midwest Finance Association 2013 Annual Meeting Paper (SSRN Electronic Library).

Bigelli, M., & Sánchez-Vidal, J. (2012). Cash holdings in private firms. Journal of Banking & Finance, 36(1), 26–35.

Breusch T. S. & Pagan A. R. (1980). The Lagrange Multiplier test and its applications to model specifications in econometrics. The Review of Economic Studies, 47(1), 239–253.

Bruinshoofd, W. A., & Kool, C. (2004). Dutch corporate liquidity management: New evidence on aggregation. Journal of Applied Economics, 7(2), 195–230.

Chang, K., & Noorbakhsh, A. (2009). Does national culture affect international corporate cash holdings? Journal of Multinational Financial Management, 19(5), 323–342.

Chen, Y.-R., & Chuang, W.-T. (2009). Alignment or entrenchment? Corporate governance and cash holdings in growing firms. Journal of Business Research, 62(11), 1200–1206.

D’Mello, R., Krishnaswami, S., & Larkin, P. J. (2008). Determinants of corporate cash holdings: Evidence from spin-offs. Journal of Banking & Finance, 32(7), 1209–1220.

Dalbor, M., & Oak, S. (2011). An examination of cash holding policies in U. S. casino firms. 2011 ICHRIE Conference. University of Massachusetts.

Deloof, M. (2001). Belgian intragroup relations and the determinants of corporate liquid reserves. European Financial Management, 7(3), 375–392.

Denis, D. J., & Sibilkov, V. (2010). Financial constraints, investment, and the value of cash holdings. Review of Financial Studies, 23(1), 247–269.

Dittmar, A., & Duchin, R. (2010). The dynamics of cash. Working Paper (SSRN Electronic Library).

Dittmar, A., & Mahrt-Smith, J. (2007). Corporate governance and the value of cash holdings. Journal of Financial Economics, 83(3), 599–634.

Dittmar, A., Mahrt-Smith, J., & Servaes, H. (2003). International corporate governance and corporate cash holdings. The Journal of Financial and Quantitative Analysis, 38(1), 111.

Drobetz, W., & Grüninger, M. C. (2007). Corporate cash holdings: Evidence from Switzerland. Financial Markets and Portfolio Management, 21(3), 293–324.

Drobetz, W., Grüninger, M. C., & Hirschvogl, S. (2010). Information asymmetry and the value of cash. Journal of Banking & Finance, 34(9), 2168–2184.

Ehling, P., & Haushalter, D. (2013). When does cash matter ? Evidence from private corporations. Working Paper (SSRN Electronic Library).

Eurostat. (2008). Eurostat pocketbooks - Tourism statistics. Luxembourg.

Faulkender, M., & Wang, R. (2006). Corporate financial policy and the value of cash. The Journal of Finance, 61(4), 1957–1991.

Fazzari, S. M., & Petersen, B. C. (1993). Working capital and fixed investment: new evidence on financing constraints. RAND Journal of Economics, 24(3), 328–342.

Ferreira, M. A., & Vilela, A. S. (2004). Why do firms hold cash? Evidence from EMU countries. European Financial Management, 10(2), 295–319.

Foley, F. C., Hartzell, J. C., Titman, S., & Twite, G. (2007). Why do firms hold so much cash? A tax-based explanation. Journal of Financial Economics, 86(3), 579–607.

Fresard, L. (2010). Financial strength and product market behavior : The real effects of corporate cash holdings. The Journal of Finance, 65(3), 1097–1123.

Gao, H., Harford, J., & Li, K. (2013). Determinants of corporate cash policy: Insights from private firms. Journal of Financial Economics, (forthcoming).

García-Teruel, P. J., & Martínez-Solano, P. (2008). On the determinants of SME cash holdings: Evidence from Spain. Journal of Business Finance & Accounting, 35(1-2), 127–149.

Guney, Y., Ozkan, A., & Ozkan, N. (2007). International evidence on the non-linear impact of leverage on corporate cash holdings. Journal of Multinational Financial Management, 17(1), 45–60.

Hardin, W. G., Highfield, M. J., Hill, M. D., & Kelly, G. W. (2009). The determinants of REIT cash holdings. The Journal of Real Estate Finance and Economics, 39(1), 39–57.

Harford, J. (1999). Corporate cash reserves and acquisitions. The Journal of Finance, 54(6), 1969–1997.

Harford, J., Mansi, S. a., & Maxwell, W. F. (2008). Corporate governance and firm cash holdings in the US. Journal of Financial Economics, 87(3), 535–555.

Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251–1271.

Huang, Y., Elkinawy, S., & Jain, P. K. (2012). Investor protection and cash holdings: Evidence from US cross-listing. Journal of Banking & Finance.

Iskandar-Datta, M. E., & Jia, Y. (2012). Cross-country analysis of secular cash trends. Journal of Banking & Finance, 36(3), 898–912.

Ivashina, V., & Scharfstein, D. (2010). Bank lending during the financial crisis of 2008. Journal of Financial Economics, 97(3), 319–338.

Jang, S. (Shawn), Tang, C.-H. (Hugo), & Chen, M.-H. (2008). Financing behaviors of hotel companies. International Journal of Hospitality Management, 27(3), 478–487.

Jensen, M. C. (1986). Agency costs of free cash flow, corporate finance, and takeovers. American Economic Review, 76(2), 323–329.

Jensen, M. C., & Meckling, W. H. (1976). Theory of the firm: managerial behavior , agency costs and ownership structure. Journal of Financial Economics, 3(4), 305–360.

Kalcheva, I., & Lins, K. V. (2007). International evidence on cash holdings and expected managerial agency problems. Review of Financial Studies, 20(4), 1087–1112.

Kennedy, P. (1992). A guide to econometrics. Oxford: Blackwell.

Keynes, J. M. (1936). The general theory of employment, interest and money. London: Harcourt Brace.

Kim, C.-S., Mauer, D. C., & Sherman, A. E. (1998). The determinants of corporate liquidity : Theory and evidence. Journal of Financial and Quantitative Analysis, 33(3), 335–360.

Kim, J., Kim, H., & Woods, D. (2011). Determinants of corporate cash-holding levels: An empirical examination of the restaurant industry. International Journal of Hospitality Management, 30(3), 568–574.

Koh, J. H., & Jang, S. S. (2011). Cash holdings of hotel firms: The financial constraints perspective. (U. of Massachussets, Ed.) Research Conference in Hospitality and Tourism.

Kusnadi, Y. (2005). Corporate governance mechanisms and vorporate cash holdings. EFA 2005 Moscow Meetings Paper.

Lian, Y., Sepehri, M., & Foley, M. (2011). Corporate cash holdings and financial crisis: An empirical study of chinese companies. Eurasian Business Review, 1(2), 112–124.

Martínez-Sola, C., García-Teruel, P. J., & Martínez-Solano, P. (2013). Corporate cash holding and firm value. Applied Economics, 45(2), 161–170.

McLean, R. D. (2011). Share issuance and cash savings. Journal of Financial Economics, 99(3), 693–715.

Menard, S. (1995). Applied logistic regression analysis (Sage University Series on Quantitative Applications in the Social Sciences). Thousand Oaks, CA: Sage.

Mikkelson, W. H., & Partch, M. M. (2003). Do persistent large cash reserves hinder performance? The Journal of Financial and Quantitative Analysis, 38(2), 275–294.

Miller, M. H., & Orr, D. (1966). A model of the demand for money by firms. Quarterly Journal of Economics, 80(3), 413–435.

Myers, S. C. (1984). The capital structure puzzle. The Journal of Finance, 39(3), 575–592.

Myers, S. C., & Majluf, N. S. (1984). Corporate financing and investment decisions when firms have information that investors do not have. Journal of Financial Economics, 13(2), 187–221.

Oler, D., & Picconi, M. (2009). Implications of insufficient and excess cash for future performance. Working Paper (SSRN Electronic Library).

Opler, T., Pinkowitz, L., Stulz, H., & Williamson, R. (1999). The determinants and implications of corporate cash holdings. Journal of Financial Economics, 52, 3–46.

Ozkan, A., & Ozkan, N. (2004). Corporate cash holdings: An empirical investigation of UK companies. Journal of Banking & Finance, 28(9), 2103–2134.

Pinkowitz, L., Stulz, R., & Williamson, R. (2006). Does the contribution of corporate cash holdings and dividends to firm value depend on governance ? A cross-country analysis. The Journal of Finance, 61(6), 2725–2751.

Pinkowitz, L., Sturgess, J., & Williamson, R. (2011). Cash stockpiles and investment : Do cash-rich firms use cash in acquisitions? Working Paper.

Pinkowitz, L., & Williamson, R. (2001). Bank power and cash holdings: Evidence from Japan. Review of Financial Studies, 14(4), 1059–1082.

Pinkowitz, L., & Williamson, R. (2002). What is a dollar worth ? The market value of cash holdings. Working Paper (SSRN Electronic Library).

Pinkowitz, L., & Williamson, R. (2007). What is the market value of a dollar of corporate cash? Journal of Applied Corporate Finance, 19(3), 74–81.

Powell, G. E., & Baker, H. K. (2010). Management views on corporate cash holdings. Journal of Applied Finance, 2, 155–169.

Rajan, R. G., & Zingales, L. (1995). What do we know about capital structure? Some evidence from international data. The Journal of Finance, 50(5), 1421–1460.

Ramírez, A., & Tadesse, S. (2009). Corporate cash holdings, uncertainty avoidance, and the multinationality of firms. International Business Review, 18(4), 387–403.

Schwetzler, B., & Reimund, C. (2004). Valuation effects of corporate cash holdings: Evidence from Germany. HHL Working Paper (SSRN Electronic Library).

Standard & Poor’s. (2012). The credit overhang: Follow the money--where’s all the cash on U.S. corporate balance sheets?, 1–13.

Titman, S., & Wessels, R. (1988). The determinants of capital structure choice. The Journal of Finance, 43(1), 1–19.

Tobin, J. (1956). The interest-elasticity of transactions demand for cash. Review of Economics and Statistics, 38(3), 241–247.

Tong, Z. (2011). Firm diversification and the value of corporate cash holdings. Journal of Corporate Finance, 17(3), 741–758.

Venkiteshwaran, V. (2011). Partial adjustment toward optimal cash holding levels. Review of Financial Economics, 20(3), 113–121.

Whited, T. M. (1992). Debt , liquidity constraints , and corporate investment : Evidence from panel data. The Journal of Finance, 47(4), 1425–1461.

Woods, D., Kim, J.-Y., & Kim, H.-J. (2011). An empirical investigation of cash-holding determinants in the US hotel industry. Korean Journal of Hospitality Administration, 20(4), 201–216.

Zhou, J. (2009). Increase in cash holdings: Pervasive or sector-specific? 2009 Northern Finance Association Meetings.

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