دانلود مقاله ISI انگلیسی شماره 19847
ترجمه فارسی عنوان مقاله

تجارت داخلی در یک مدل ساختار بازار واقعی دو لایه

عنوان انگلیسی
Insider trading in a two-tier real market structure model
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
19847 2013 9 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : The Quarterly Review of Economics and Finance, Volume 53, Issue 1, February 2013, Pages 44–52

ترجمه کلمات کلیدی
تجارت داخلی - بازار دو لایه - سیگنال های همبسته - مدل کایل -
کلمات کلیدی انگلیسی
Insider trading, Two-tier market, Stackelberg, Correlated signals, Kyle model,
پیش نمایش مقاله
پیش نمایش مقاله  تجارت داخلی در یک مدل ساختار بازار واقعی دو لایه

چکیده انگلیسی

This paper investigates the real and financial effects of insider trading in the spirit of Jain and Mirman (2000). Unlike the existing literature, the production of one real good is costly and depends mainly on the price of an intermediate good produced locally by a privately owned firm. The results show that the output level of the final good chosen by the insider as well as the price of the intermediate good set by the privately owned firm are both higher than it would be in the absence of insider trading. Furthermore, the parameters of both real markets affect the stock price. Next, a second insider, operating in the firm producing the final good, is added to the benchmark model. Competition among insiders decreases the production of the final good by the publicly owned firm and the price of the intermediate good with respect to the benchmark model. Moreover, it affects the insiders’ trades and increases the amount of information revealed in the stock price.

مقدمه انگلیسی

Corporate executives can hardly clear their minds of all bits of information they know when they trade on their company's stock market. Their daily participation in the real activities of their company, when writing for instance a sales report or discussing new product strategies in meetings, or even when chatting with someone in the research and development team, make them reluctantly form an opinion of how prospects look at the company. Because real and financial decisions are inevitably intertwined, the theoretical research on insider trading has started to extend the pure financial models in the spirit of Kyle (1985) to include the real aspects of the firm (Daher and Mirman, 2006, Daher and Mirman, 2007, Jain and Mirman, 2000 and Jain and Mirman, 2002). The insider is modeled as the manager of the firm who chooses how much stock to buy and how much output to produce in the real market, thus affecting the profitability of the firm. Sometimes, the publicly owned firm is a quantity-setting monopolist in the real market (Daher and Mirman, 2007 and Jain and Mirman, 2000), and sometimes it is competing with another privately owned firm in a Cournot way to determine the quantity produced of the homogeneous good (Daher and Mirman, 2006, Jain and Mirman, 2002, Wang and Wang, 2010 and Wang et al., 2009). In both cases and to simplify the analysis, the real good is produced at no cost. However, the production process involves the use of primary production factors such as labor, capital, and land, as well as intermediate goods. It is a characteristic feature of industrial economies that commodities are produced by means of commodities. Data from the OECD input–output tables (OECD, 2004) show that the share of intermediate goods in production ranges from 19% to 82% across different sectors. Any change in the cost of these intermediate goods will ripple throughout a market economy, affecting the market of the final good. In other words, buying and selling relationships link firms vertically, and through these links firms engage in market interactions while performing different functions in the value chain. In this paper, we address this issue by assuming that the production of the final good by the publicly owned firm (the downstream firm) involves constant labor costs as well as costs of intermediate goods. Those are locally produced by a privately owned firm (the upstream firm).1 Specifically, we analyze insider trading in a static model in the spirit of Jain and Mirman (2000), where the insider of the downstream firm is also the manager of that firm and thus makes both real and financial decisions. We study a model of insider trading and information dissemination when other firms are involved in the production process, e.g., producers of intermediate goods, thus affecting the real decisions of the model. In our model, the choice of the real variables will affect the market of the intermediate good, and vice versa. The logic is as follows: when the production of the final good decreases, the demand for the intermediate good also decreases, and ceteris paribus, the price of that good falls. Inversely, an increase (decrease) in the price of the intermediate good is able to decrease (increase) the profit of the downstream firm, ceteris paribus. A lower (higher) profit induces the market maker to set a lower (higher) stock price. In our model, the downstream firm managed by the insider is assumed to be a monopolist. We follow Kyle (1985) in modeling the financial market environment and thus study a linear-normal equilibrium. Further, we assume that the stock orders are submitted by an insider as well as noise traders. A market maker sets stock prices competitively. The insider knows the true value of a random shock to the value of the firm whereas the market maker knows only the distribution of this shock. However, following Jain and Mirman (1999), the market maker observes the total stock order as well as the noisy market price of the real good before setting the price of the stock. The insider chooses the real output of the final good and the stock to be traded simultaneously. The downstream firm buys the necessary quantity of the intermediate good from the upstream firm, which also holds a monopoly power on the market of that good. We show that insider trading affects the markets of both the final and the intermediate goods, and that the financial market variables change due to the insider's real decisions. For instance, the real output chosen by the insider or the manager of the downstream firm as well as the price of the intermediate good set by the upstream firm are both greater than it would be in the absence of insider trading. Furthermore, the parameters of both real markets affect the stock price and the stock pricing rule. Besides, when compared to Jain and Mirman, 2000 and Jain and Mirman, 2002, this two-tier real market structure does not alter the amount of information disseminated in the stock price or the level of insider trading. However, it restricts the influence of the insider on the final good market and thus affects the real market outcomes as well as the stock price coefficients. Next, following Daher and Mirman, 2006 and Daher and Mirman, 2007, we add a second insider, the owner of the downstream firm, and assume that he has no managerial responsibilities. Similarly to the manager, the owner's objective is to maximize his profits from trading the stock of the firm. Then, we carry out a comparative static analysis between model II (duopoly in the financial market) and model I (monopoly in the financial market). We show that competition among insiders in the financial sector affects the stock price coefficients as well as the real variables. In particular, the level of output produced by the downstream firm and the price of the intermediate good both decrease with respect to model I. Hence, the addition of another informed trader influences the production decision of the downstream firm, as well as the decision of the upstream firm. Moreover, competition among insiders affects the insiders’ trades. Finally, the results show that Cournot competition in the stock market increases the amount of information revealed through the stock price. The paper is structured as follows. Section 2 presents and discusses the main findings of the benchmark model characterized by a two-tier real market structure and one insider in the financial market. Section 3 adds a second insider in the financial market and carries out a comparative static analysis with respect to the benchmark model.