of 3 - Center for Global Outsourcings
of 3 - Center for Global Outsourcings
of 3 - Center for Global Outsourcings
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Introduction<br />
The rapid development and innovation <strong>of</strong> financial derivatives with low transaction costs may<br />
meet the multiple demand <strong>of</strong> the hedging <strong>of</strong> enterprises. (Gewalda, 2010). However, the<br />
characteristics <strong>of</strong> high leverage and implied high risks will result to many problems arising from<br />
excessive operation. Regarding the mode <strong>of</strong> industrial development, with Taiwan’s IC industry<br />
as an example, the IC industry has undergone three major revolutions, and developed two<br />
business models <strong>of</strong> vertical integration (Integrated Device Manufacturing, IDM) and virtual<br />
integration. The two business models coexist and compete with each other. (Chu et al., 2005).<br />
Previous studies have discussed the use <strong>of</strong> financial derivatives to hedge in the face <strong>of</strong> <strong>for</strong>eign<br />
exchange rate risk and the discussions on the interest rate risk in the <strong>of</strong> financial crisis are rare.<br />
During the global financial crisis, the different levels <strong>of</strong> sensitivity in the balance sheets <strong>of</strong><br />
enterprises lead to different due dates <strong>of</strong> debts, different accounting basis or the cash flow<br />
uncertainty arising from the financial contracts <strong>of</strong> floating interest rates. Hence, this paper aims<br />
to find out how Taiwan’s IC industry can effectively avoid interest rate risk in case <strong>of</strong> two<br />
business models. To hedge the interest rate risk, enterprises may use multiple types <strong>of</strong> hedging<br />
tools and the result <strong>of</strong> affecting factors, the effectiveness <strong>of</strong> using financial derivatives be<strong>for</strong>e<br />
and after financial crisis are worthy <strong>for</strong> further discussions. Hence, these are listed as key points<br />
<strong>for</strong> in-depth discussions in this study. The discussions on the scope <strong>of</strong> hedging decision making<br />
factors regarding <strong>of</strong> the use <strong>of</strong> financial derivatives are extensive, and can be divided into the<br />
four points, as listed below Graham and Roger (2002) the costs <strong>of</strong> financial crisis will result in<br />
fluctuations in corporate value, and urged enterprises to take hedging activities to reduce the<br />
probability <strong>of</strong> the occurrence <strong>of</strong> financial crisis. (Campello et al. 201) Smith and Stulz(1985)<br />
proposed that the separation <strong>of</strong> ownership and operating power will create the agency problem<br />
between creditors and shareholders who provide capital, and the managers who use the capital,<br />
resulting in agency costs. (Fauver et al., 2010). According to the in<strong>for</strong>mation economies <strong>of</strong> scale<br />
assumption, Block and Gallagher (1986) argued that large enterprises are more capable <strong>of</strong><br />
inviting pr<strong>of</strong>essional managers to use financial derivatives <strong>for</strong> hedging with lower transaction<br />
costs on average.(Carter et al., 2006). Tufano(1996)have different opinions concerning the<br />
impact <strong>of</strong> company size on the hedging motivation <strong>of</strong> the company. However, the diversification<br />
<strong>of</strong> assets <strong>of</strong> the large enterprises is easier and the external financing is more easily. As a result,<br />
small enterprises will have more hedging activities. Gale and Hellwig (1985) to raise corporate<br />
value, the enterprises will use financial derivatives <strong>for</strong> hedging to mitigate the fluctuations in<br />
cash flow <strong>of</strong> the company to distribute the redundant capital to places in short <strong>of</strong> cash flow, in<br />
order to increase the investment opportunities. (Graham and Rogers, 2002 ;Bartram et al.,<br />
2009)<br />
Data and Empirical Result<br />
In this study, the research period is from January 1, 2007 to June 30, 2011. The 5 years are<br />
divided into 9 periods <strong>of</strong> each half <strong>of</strong> a year. My data is from Public In<strong>for</strong>mation Observation<br />
Website, Taiwan Stock Exchange, Annual reports and prospectus <strong>of</strong> listed and OTC enterprises<br />
in Taiwan, Taiwan Economic Journal Database as the source <strong>of</strong> sample selection and<br />
measurement variables. There is Virtual Integration <strong>for</strong> 7 samples, Vertical Integration is <strong>for</strong> 59<br />
samples, total sample are 66. This paper first conducts the Pearson correlation analysis is<br />
per<strong>for</strong>med to analyze the correlation <strong>of</strong> various variables to eliminate the collinearity <strong>of</strong> the<br />
regression model. Finally, logistic regression analysis is employed to test the hedging by using<br />
financial derivatives, the hedging purpose and the selection <strong>of</strong> hedging tools. Logistic regression<br />
model’s explanatory variable is a nominal scale variable <strong>of</strong> discontinuity. In addition to testing<br />
Tenth Annual International Daejeon, South Korea P a g e | 73<br />
Smart Sourcing Conference June 28-29, 2012