International Journal of Finance and Accounting
p-ISSN: 2168-4812 e-ISSN: 2168-4820
2020; 9(4): 77-85
doi:10.5923/j.ijfa.20200904.01
Received: Jun. 23, 2020; Accepted: Aug. 3, 2020; Published: Sep. 15, 2020

Elham Heidari
MSc. Financial Management from Science and Research University, Tehran, Iran
Correspondence to: Elham Heidari, MSc. Financial Management from Science and Research University, Tehran, Iran.
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Copyright © 2020 The Author(s). Published by Scientific & Academic Publishing.
This work is licensed under the Creative Commons Attribution International License (CC BY).
http://creativecommons.org/licenses/by/4.0/

Nowadays companies in order stay in competitions and develop, attempt to attract funds from external financing relative to the socioeconomic conditions. One of the important factors in influencing these indicators is corporates’ social capital. The purpose of this study is to investigate the effect of managers' social capital on investment sensitivity related to cash, finance performance and stock return performance. This research is in the field of positive and applied theories and is descriptive in nature and uses correlation chart. The statistical population of the study is the listed companies in the stock exchange which was created using a systematic elimination method (636 company/year) for a period of 6 years from 2010 to 2015. The results of the research hypotheses show that there is a significant and direct relationship between investment sensitivity and corporate cash flow, corporate financial performance and corporate stock return performance. Also, it was confirmed that there is an inverse and significant relationship between investment sensitivity and corporate financing.
Keywords: Social capital, Investment sensitivity, External financing of firms
Cite this paper: Elham Heidari, The Effect of Managers' Social Capital on Investment Sensitivity and External Financing of Firms, International Journal of Finance and Accounting , Vol. 9 No. 4, 2020, pp. 77-85. doi: 10.5923/j.ijfa.20200904.01.
in which:Stockperf i,t : Equals investment sensitivity to stock return performance.R i,t : Equals the return on equity and how it is calculated:
: Stock returns
: Stock prices at the beginning of the month
: Cash Dividends accrued on each equity
Percentage of capital increase from cash brought in
: Stock prices at the end of each month
Percentage of increase in capital from the reserveNeg: equal to the synthetic variable of the growth rate of the investment which equals 1 if the firm's investment has a positive growth in the given year and otherwise equals zero.Independent variable: social capital of the managers (SC i,t) is a synthetic variable that if the executives of the company in question have financial expertise and knowledge of social financial virtual networks is equal to 1, otherwise it would be zero [18].Control variable: the stock price volatility (PBV i,t) is equal to the growth rate of the stock price, which will be calculated as follows ( huang et al, 2016): AR i,t= P i,t-P i,t-1/ P i,t-1AR i,t = Stock price volatility compared to the previous year, the current year of the company i in year t.P i,t: Company stock price i in year t.P i,t-1: The stock price in the year preceding the year under review.We calculate and classify companies in each fiscal year based on the kz4it index (financial constraint index). Therefore, the companies whose size is calculated from the kz4it index average values, all companies in the sample are lower in the financial constraint category, otherwise they are in the financial constraint category.The Tobin’s q ratio is calculated as follows [2]:{Market value of equity + book value of assets} / book value of assets-Tobins, Q i,tsales ratio (Sales i,t) is equivalent to selling a company divided by the carrying amount of current assets [4].stock market value (Log (MVi,t) is equals the natural logarithm of the company's stock market value in the year before [5]. growth opportunities (BM i,t) is equals the market value to book value ratio used as a representation of investment opportunities [18].debt ratios (Debt i,t) is the sum of the short-term and long-term liabilities divided by the carrying amount of the total assets [7]. type of industry (FirmDust i,t) is zero and one is used to classify the industry in question. here the companies surveyed are productive, (IND = 1) and for other companies (IND = 0). This variable is used to control the difference of profit stability and accrual quality of industrial companies with the profit stability and accrual quality of other companies [8].Age of company (YearDust i,t) depends on the amount of productive and profitable activities. The higher the productive and profitable activities of the companies, the greater the life cycle of the company. The life cycle of the company is equal to the logarithm of the age of the company from the year it was founded to the end of the year under review [9].
(coefficients of independent variables) are significant at 95% confidence level, the first to fourth hypotheses of the study will be confirmed, respectively.The research models, derived from the research of Javakhadze et al. [18], are estimated as follows:Model for the first research hypothesis:
Model for the second research hypothesis:
Model for the third research hypothesis:
Model for the fourth research hypothesis:
In these models i represents company (sectional unit) and t represents the year.
is the accidental error of company i in year t.
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