The cost of construction projects depends on their size, complexity, and duration. Construction management applies effective management techniques to the planning, design, and construction of a project from conception to completion for the purpose of controlling time, cost and quality. A real options approach in construction projects, improves strategic thinking by helping planners recognize, design and use flexible alternatives to manage dynamic uncertainty. In order to manage uncertainty using this approach, it is necessary to value the real options. Real option models assume independence of option holder and the impacts of underlying uncertainties on performance and value. The current work proposes and initially tests whether project management reduces the value of real options. The example of resource allocation is used to test this hypothesis. Based on the results, it is concluded that project management reduces the value of real options by reducing variance of the exercise signal and the difference between exercise conditions and the mean exercise signal.

This study examines the markets reaction to announcements of dividend increases. In particular, it considers the factors that affect the magnitude of abnormal returns during the days that surround announcements of dividend increases. The objective is to find whether the market reaction to dividend increases has weakened with the passage of time and whether market conditions affect the reaction. Eventually, this study is expected to reveal whether dividends continue to be important to investors. <p>This research is motivated by the findings of Fama and French (2001). They suggest that since 1978 firms have had a declining propensity to pay dividends. They propose that dividends are declining as a result of the ease by which investors can make homemade dividends through selling small portions of their holdings. They argue that recent market developments, particularly the introduction of negotiated commissions and discount brokers, have made homemade dividends easier and less costly. Their results may suggest that investors are now less interested to receive dividends than in the past. One objective of this study is to examine whether investors preferences regarding dividend payments have changed over time. This is accomplished by measuring the abnormal returns following announcements of dividend increases. Benartzi, Michaely, and Thaler (1997) suggest that the reaction of the market to dividend increases is an acceptable method of determining the value of dividends to investors. <p>In addition, this study explores the theoretical factors that may affect dividend valuation. Previous studies, such as Allen, Bernardo and Welch (2000), suggest that the existence of debt holders and institutional investors reduce the potential for agency costs as these stakeholders monitor managers. In contrast, Jensen (1986) suggests that high cash flows make it easier for managers to spend on perquisites and empire building. Thus, the potential for agency costs increases. Therefore, paying dividends when cash flows are high reduces the likelihood of agency costs. At the same time, Benartzi, Michaely and Thaler (1997) suggest that increasing dividends following higher cash flows signals managements expectation that future performance warrants a dividend increase. Consequently, the agency and signaling theories suggest that investors may react positively to dividend increases when cash flows are high. <p>Several observations are obtained from this study. First, investor reaction to dividend increases seems to have weakened over time. Second, the reaction is different when the increase is announced in a bear market rather than in a bull market. Third, the market reaction to dividend increases is less in firms that are more liquid. This finding may be interpreted as evidence that dividends are valued less in more liquid firms because it is easier for the investors of these firms to make homemade dividends. Fourth, the magnitude of the reaction is directly related to the increase in trading volume following the announcement. <p>Surprisingly, the evidence disputes the predictions of the agency cost theory of dividends. This theory states that dividends are valued because they decrease the amount of cash available to management, which in turn decreases the potential for waste. Given this theory, it is expected that firms with high debt loads already have agency costs decreased so the market reaction to their dividend increases would be less than other firms while firms with high free cash flows would have a greater market reaction to their dividend increases because of the large potential for waste on managements part. Instead, the results suggest that firms with high debt loads experience positive market reaction following dividend increases while firms with large free cash flows experience negative reactions. It seems that the signaling theory of dividends is contributing heavily to this result.<p>Future research should be directed to investigate the possibility that share repurchases may be replacing dividends as a way to redistribute surplus cash to shareholders. In addition, future studies may focus on the signaling theory of dividends as useful tool to explain the dividend policies of corporations.

Different open space types are assumed to be valued in different ways by the public. This thesis analyzes four spatially explicit hedonic models of Baltimore County, Maryland to examine the effect of six different open spaces types on house value using 2007 sales data. The first model analyzes open space value using proximity measures of open spaces, while the other three models use percent area measures of open space at different neighborhood distance. Marginal monetary values of the open spaces are estimated. Additional eight hedonic models, four urban and four rural, are used to analyze the differences and similarities between the value placed on open space by urban dwellers and rural dwellers. Among the open space types under study, storm water retention area is found to have the most prevalent influence on house value and in most instants this influence is found to be negative. Differences and similarities in urban and rural perspective on open space value are also discussed. Proximity to lakes without improvements has positive effect on house prices for both rural and urban area. Golf course area in urban neighborhood has negative influence on house prices, whereas in rural area its influence is seen to be positive.

This paper uses stock market data from 2000-2010 to examine the role long-term growth (LTG) uncertainty plays in equity valuations. In theory, the convex relationship between LTG and per-share value suggests a positive relationship between LTG uncertainty and analysts’ price targets, with higher levels of LTG uncertainty leading to higher, less accurate price targets. However, this paper finds conclusive evidence that analysts are not incorporating LTG uncertainty into their pricing models. This leaves uncertainty regarding the discount rate and the perpetuity growth rate as the only remaining potential sources of upward pressure on analysts’ price targets that are attributable to uncertainty.

In this dissertation, I examine the impact of earnings management and expectations management on the usefulness of earnings and analyst forecasts in firm valuation. Earnings and analyst forecasts are important inputs into accounting valuation models. Their ability to reflect current and predict future firm performance can help valuation models predict intrinsic value. However, increasing earnings management and expectations management activities in recent years may have adversely affected the usefulness of these information items in firm valuation. This study shows that intrinsic value metrics estimated using manipulated earnings or forecasts have less ability to track stock prices and predict future returns through V/P ratios, providing evidence for the joint hypothesis of (i) long-term market efficiency and (ii) the negative impact of earnings management and expectations management on the usefulness of earnings and analyst forecasts in firm valuation. It contributes to the accounting literature in several ways. First, it challenges the conventional view that more accurate and less biased forecasts are necessarily of better quality and proposes to assess the quality of analyst forecasts directly by examining their usefulness. It also introduces an improved measure for expectations management and presents new evidence on (i) the usefulness of earnings and analyst forecasts in firm valuation; (ii) the negative impacts of earnings management and expectations management on this usefulness; and (iii) the overall performance of accounting valuation models in firm valuation.

In this dissertation, I examine the impact of earnings management and expectations management on the usefulness of earnings and analyst forecasts in firm valuation. Earnings and analyst forecasts are important inputs into accounting valuation models. Their ability to reflect current and predict future firm performance can help valuation models predict intrinsic value. However, increasing earnings management and expectations management activities in recent years may have adversely affected the usefulness of these information items in firm valuation. This study shows that intrinsic value metrics estimated using manipulated earnings or forecasts have less ability to track stock prices and predict future returns through V/P ratios, providing evidence for the joint hypothesis of (i) long-term market efficiency and (ii) the negative impact of earnings management and expectations management on the usefulness of earnings and analyst forecasts in firm valuation. It contributes to the accounting literature in several ways. First, it challenges the conventional view that more accurate and less biased forecasts are necessarily of better quality and proposes to assess the quality of analyst forecasts directly by examining their usefulness. It also introduces an improved measure for expectations management and presents new evidence on (i) the usefulness of earnings and analyst forecasts in firm valuation; (ii) the negative impacts of earnings management and expectations management on this usefulness; and (iii) the overall performance of accounting valuation models in firm valuation.

This study examines the markets reaction to announcements of dividend increases. In particular, it considers the factors that affect the magnitude of abnormal returns during the days that surround announcements of dividend increases. The objective is to find whether the market reaction to dividend increases has weakened with the passage of time and whether market conditions affect the reaction. Eventually, this study is expected to reveal whether dividends continue to be important to investors. <p>This research is motivated by the findings of Fama and French (2001). They suggest that since 1978 firms have had a declining propensity to pay dividends. They propose that dividends are declining as a result of the ease by which investors can make homemade dividends through selling small portions of their holdings. They argue that recent market developments, particularly the introduction of negotiated commissions and discount brokers, have made homemade dividends easier and less costly. Their results may suggest that investors are now less interested to receive dividends than in the past. One objective of this study is to examine whether investors preferences regarding dividend payments have changed over time. This is accomplished by measuring the abnormal returns following announcements of dividend increases. Benartzi, Michaely, and Thaler (1997) suggest that the reaction of the market to dividend increases is an acceptable method of determining the value of dividends to investors. <p>In addition, this study explores the theoretical factors that may affect dividend valuation. Previous studies, such as Allen, Bernardo and Welch (2000), suggest that the existence of debt holders and institutional investors reduce the potential for agency costs as these stakeholders monitor managers. In contrast, Jensen (1986) suggests that high cash flows make it easier for managers to spend on perquisites and empire building. Thus, the potential for agency costs increases. Therefore, paying dividends when cash flows are high reduces the likelihood of agency costs. At the same time, Benartzi, Michaely and Thaler (1997) suggest that increasing dividends following higher cash flows signals managements expectation that future performance warrants a dividend increase. Consequently, the agency and signaling theories suggest that investors may react positively to dividend increases when cash flows are high. <p>Several observations are obtained from this study. First, investor reaction to dividend increases seems to have weakened over time. Second, the reaction is different when the increase is announced in a bear market rather than in a bull market. Third, the market reaction to dividend increases is less in firms that are more liquid. This finding may be interpreted as evidence that dividends are valued less in more liquid firms because it is easier for the investors of these firms to make homemade dividends. Fourth, the magnitude of the reaction is directly related to the increase in trading volume following the announcement. <p>Surprisingly, the evidence disputes the predictions of the agency cost theory of dividends. This theory states that dividends are valued because they decrease the amount of cash available to management, which in turn decreases the potential for waste. Given this theory, it is expected that firms with high debt loads already have agency costs decreased so the market reaction to their dividend increases would be less than other firms while firms with high free cash flows would have a greater market reaction to their dividend increases because of the large potential for waste on managements part. Instead, the results suggest that firms with high debt loads experience positive market reaction following dividend increases while firms with large free cash flows experience negative reactions. It seems that the signaling theory of dividends is contributing heavily to this result.<p>Future research should be directed to investigate the possibility that share repurchases may be replacing dividends as a way to redistribute surplus cash to shareholders. In addition, future studies may focus on the signaling theory of dividends as useful tool to explain the dividend policies of corporations.

Master Thesis, School of Management and Economics, Växjö University, Advanced Concepts in Logistics Management, FED370, Spring 2006 Authors: Lina Friberg, Sofia Nilsson and Sofia Wärnbring Tutor: Petra Andersson Examiner: Lars-Olof Rask Title: Inventory Valuation - difficulties; what &amp; why? Background: It is important to value inventories accurately in order to meet shareholder needs and demands for financial information. For manufacturing companies, inventories usually represent approximately 20 to 60 percent of their assets; hence it affects companies’ profits. It is essential in which way assets are valued, however, it will be a waste of time if the record accuracy level is poor. Research Questions: Why do companies experience problems when valuing inventories? In order to answer this research question, the following question also has to be answered: What problems can be identified? Purpose: The purpose of this master thesis is to describe and explain difficulties when valuing inventories. Limitations: We are not considering work-in-process and finished goods inventories, only raw material inventory. Neither are we looking at the companies’ internal calculation system, as we believe this will not be relevant for raw material. Method: We chose a positivistic view since we were studying our problem from a process perspective. A case study approach was suitable for us as our thesis was written in the form of a project, and we combined our empirical and theoretical data through the deductive approach. Conclusions: The problem of inventory valuation does not exist in the pricing aspect. Most problems are connected to quantity. Especially the daily routines were found to be insufficient, thus creating inaccuracies between the physical quantity in inventory and the quantity displayed in the system. Company B, the larger company, was found not to have as many problems as the smaller Company A has. Continued research: We believe an overall picture regarding valuation is needed, including the work-in-process and the finished goods inventories. Moreover, deficiencies are often not just found in the processes, but also the humans involved, and how they are motivated to secure accuracy. In addition, an implementation of cycle counting could be interesting to investigate.

How do we evaluate an enterprise¡¦s reasonable value? What would be the effective method? In the following research, I try to evaluate an enterprise¡¦s real value by four models: FCF model, EBO model, PB model, and PE model. Which model would generate the most accurate result and interpret the volatility of the stock market better? In addition, how effective are they? According to my research, the volatility of the stock price can be interpreted by the PB model best. PB model¡¦s R2 can reach as high as 76%. As for the accuracy, PE model can generate the most accurate estimation, whose tendency ratio is 34%. PB model, EBO model and FCF model rank the second, third and forth, respectively. The portfolios invested in accordance with the FCF model, EBO model, PB model, and PE model earn positive returns of 24%, 12%, 15% and 6%, respectively. Over half of the invested targets have positive return. In this period, the Taiwanese Stock Weighted Index fell from 8638.75 to 6142.32, generating a -29% of return. That is, the 4 evaluation models recommended by my research do have different results from the market. The market does not reflect the true value of the enterprises. Finally, I try to combine the enterprise evaluation models with the measurement of risk. The result shows that the penetration does not occur in FCF model and the variance- covariance model, while that occurs three times, four times and two times in the EBO model, PB model and PE model, respectively. Comparing the measured risk among all these models with the real risk, I find an average error 30.44% in the variance-covariance model, 20.26% in the FCF model, 8.11% in the EBO model, 10.91% in the PB model and 8.55% in the PE model. The risks measured by the enterprise evaluation models, have lower error. However, the risk measured by the variance-covariance model generates a 30.44% of error. As a result, measuring risks by the enterprise evaluation models is workable for the public.

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