Although the concept of real estate market analysis are more widely used in real estate industry but penetration rate seem to be misunderstood by some commentators in the market. To accomplish a penetration analysis, existing models have to extensive taking the specific characteristics of explainable model and techniques that allow the market commentators to estimate penetration rate with more accuracy through existing models by integrate changes in the macro economy. The main purpose of this paper is to explain and analyze to give some issues for the prediction of how business cycle and real estate cycle will affect to penetration rate. The scope of this thesis is to study of a medium sized complete residential development in Sweden namely Gåshaga Pirar in Lidingö municipality.

Purpose - The purpose of this paper is to apply the concept of business cycle and real estate cycle in term of their characteristics, period and sequence of the cycle to the Kuala Lumpur’s office market. Design/methodology/approach - The paper is based on previous literature review, facts, reports, and data in arriving at the conclusion of the study. Findings - This paper revealed the characteristics, period and sequence between business and real estate cycles to Kuala Lumpur’s office market. Research limitation/ Implications - The framework and flows of this paper act as an introduction for the paper. Lacks of literature and attention on the business and real estate cycles in Kuala Lumpur’s have created difficulties to gains information and data on this paper. Practical implications - This paper is important for the students, government and policy maker in order to further a research and develop a foundation for business and real estate cycles in Kuala Lumpur.

過去住宅價格的研究多以平均數為主軸，鮮少探討價格分散（price dispersion）的現象。然而，如市場上價格分散程度增加，則平均價格在市場整體價格的描述上將失去其經濟意義。因此，本文試圖了解平均價格與價格分散的關係及價格分散的影響原因。目前，價格分散之文獻多著重於需求者行為對成交價分散的影響，未探討造成表價差異的原因。過去文獻指出，景氣及區位皆會影響建商的推案行為及訂價行為。因此，本文從供給者角度，探討房價水準、景氣及區位對表價分散造成的影響。 本研究使用政治大學房地產研究中心與國泰建設公司所調查台北市與台北縣83Q1至97Q2住宅新推個案表價資料，分成台北市與台北縣市中心、市郊與郊外研究價格分散程度差異。結果顯示，住宅市場房價水準上升時，將增加建商的產品及訂價差異，在市場效率及資訊不足的情況下，使房價水準領先價格分散三季。而不景氣時容易對財務條件較差之廠商造成銷售壓力，使價格分散較景氣時大。區位較佳之地區因產品獨特性、價格僵固無彈性，而使分散程度小於區位較差地區。由市場上價格分散情形，我們可以觀察到市場風險的變化，景氣轉壞時或區位較差地區風險較高。 價格分散是市場上價格混亂的現象，在產品異質性較高故不易觀察的住宅市場中，本文釐清了價格分散來自於房價水準、景氣及區位。因此，當價格分散擴大時，學術上觀察平均價格時應更謹慎的看到個體的差異，而市場上需求者更應多搜尋與比較市場上的住宅產品。 / Price dispersion is a common issue in homogeneous goods literatures, but a few researches in housing market. In financial literatures, variation is an important index which means the risk of market. Especially in market depression, we should pay more attention to price variation. As a result, this paper focus on the price dispersion of housing market, and tries to find the effect of price level, real estate cycle, and location on price dispersion. Previous time-on-the-market studies focused on the relationship between listing price and trading price of housing unit, while this paper investigates the difference in listing price of different residential projects in new construction market. We demonstrate the degree of housing price dispersion which changes with price level, real estate cycle and location, because of the heterogeneity of seller’s strategies. After controlling the effect of product differentiation, we find that there is a positive correlation between price dispersion and risk. Our results suggest that besides the price level, we should pay more attention to the price dispersion of housing market.

本研究所稱建商包括「建設公司」以及有從事建設業之「資產股公司」。建設公司在一般人的認知裡是高獲利的產業，但其營運狀況易受到房地產景氣波動的影響，發生財務危機的比例較其他產業高；而資產股公司投入建設業被認為是挹注獲利拉高股價的題材，因此本研究探討1996-2007年建設公司利潤力績效與房地產景氣的關聯性，獲利較同業佳的建設公司類型、投資決策之差異為何，以及資產股公司從事建設業獲利與房地產景氣之關聯，使建商能根據所發佈之房地產景氣指標在投資決策上做適當之調整，也提供投資人投資建商之參考。研究結果如下： 一、前期房地產景氣越好，建設公司利潤力績效越佳，總銷與購地總額越高。 二、市場佔有率高、建設營收比＞90％的建設公司利潤力績效較佳。借殼上市、曾發生財務危機、上市公司相較於上櫃興櫃公司利潤力績效較差。產品純住宅較產品包含辦公室、廠辦的公司獲利差，但並不明顯。此外，推案區位並非影響建設公司獲利之因素。 三、獲利較佳的建設公司較能夠敏銳掌握房地產景氣趨勢推案，並在景氣較差時敢於持續購地，景氣好時也積極購地。 四、資產股公司多數個案選擇在房地產景氣燈號綠燈時推出，銷售情形佳，貢獻獲利良好。大型商業開發案開發、獲利情形與房地產景氣的關係可能不如一般建案密切。近期開發案除了住宅建案，還有辦公、商場、商務住宅等商業不動產，長期租金收益的開發概念增加，較早期開發多元化。 / The real estate developers in this study included “construction companies” and the “property stock companies” which operate construction businesses. Construction companies are commonly known as a high-return industry by the general public, but their operations are easily affected by real estate cycle and their chances of financial crisis are higher than other industries. It is considered a sure bet for pushing up the share prices when property stock companies participated in the construction industry. This study analyzed the relationship between the profit performances of construction companies and the real estate cycle, the types of relatively high profitability construction companies in the industry, the differences in investment strategies and the relationship between property stock companies’ gain of profits from construction business and the real estate cycle in 1996-2007. This is to enable real estate developers to make appropriate strategic adjustment on their investment according to the announced real estate cycle indicators, and to serve as a reference for the investors on investing in construction companies. The results of the study are as follows: 1.The better the real estate cycle in the previous year, the better the profit performance of construction companies, with higher total sales and total land-purchase amount. 2.The construction companies with higher market share and construction-revenue ratios higher than 90% have better profit performances. The profit performances of backdoor listed companies, companies with previous financial crisis and TSE listed companies are not as good as OTC and emerging-market listed companies. Companies providing purely residential products have poorer profit performances than those providing offices and factory space alongside with residential products, but the difference is insignificant. Apart from that, project location does not affect the profitability of the construction companies. 3.Construction companies with better profits can get hold of the real estate cycle in a relatively fast way. They also can continue to buy land when the real estate cycle is depressing and to actively buy land when the real estate cycle is good. 4.Most projects of property stock companies were released when the real estate cycle signal turned green. Good sales contributed to good profitability. The relationship between large commercial development project profitability and the real estate cycle might not be as close as general construction projects. Apart from residential projects, recent development projects also include commercial real estates such as offices, shopping malls, residential-commercial buildings, etc. The development concept of long-term rental return is more popular and it has more variety than the initial period.

本研究主要在建立1996-2008年間建商的存活預警模型，探討眾多危機事件中對於建商存活的影響力分析。研究所稱建商包括「建設公司」以及有從事建設業的相關公司。在台灣地區位屬火車頭角色的建設業具有舉足輕重的影響力，但其營運的財務槓桿較其他產業高，營運狀況易受景氣波動的影響，因此在事件的產生時對於投資者、銀行的應變處理便顯得相對重要。 危機事件所指除了證管會、台灣經濟新報資料庫的危機認定外，另加入財務之外的事件研究並加以定義。存活預警模型的建立是先以各種事件的相關性分析以了解各種事件的顯著性，並且量化分類後的影響事件，再進行羅吉特分析與存活分析的比對，選擇較適模型與影響力較大的危機事件進行實證分析。研究實證結果如下： 一 危機事件越多，建商經營越不穩定，存亡事件產生機率越高；影響公司存活的共通因子對於公司危機產生的共同預警變數有一定程度上的共通性，且都具有顯著性。 二 本研究將危機事件分類為財務面、監理面、經營面，存亡事件選定有終止上市、全額交割股、掏空三種。經實證後得知，財務面之外的預警變數亦能提供投資人及銀行產業了解公司經營的穩定度。在眾多預警變數中，又以重整、紓困跳票違約、董監事改選對於終止上市影響較大；對全額交割股的影響則以董監事改選、警示股、景氣因素以及利益輸送影響較大；對掏空的影響則以重整、警示股、財務結構較具顯著性。 三 存活期間與存活機率相關性比較中，以景氣預警變數而言，若產生全額交割事件，則產生存亡事件的機率非常高，公司得以存活期間較短。以重整預警變數而言，公司重整後，產生存亡事件的機率非常高，也就是說公司得以存活的期間較其他預警變數短。 四 景氣循環對於建商經營有非常大的影響，不景氣時產生具顯著性的危機事件，將會在較短期間後產生存亡事件。 / The goal of our study is establishing the survival model in the building construction companies during 1996-2008. The real estate developers in this study included “building construction companies” and the “property stock companies” which operate building construction businesses. Building construction companies are common known as a pivotal role in the power of influence by the general public, but the financial leverage is higher than other industries. Operating condition of construction companies is effected by the real estate cycle; in hence it is relative importance of the investers, banks, which the crisis events occurred. The crisis events in this study are not only the definition of Taiwan Stock Exchange and Taiwan Economic Journal Data Bank but also the events besides financial side. The study of survival model, in the beginning, is to analyze the correlation of crisis events to understand the significance of events, quantify the classified of the entire crisis event, and then to compare the results between the Logistic Analysis and the Survival Analysis. Finally, choose the appropriate model and the more influence crisis events to do the empirical analysis. The empirical analysis results of our study are as follows: 1. The more the crisis events occurred, the more the probability of failure events will occur. 2. Our study classified the crisis events into three different species, financial side, supervision side, business side. We choose company delisting, full delivery stock company, and company emptied as the failure events. 3. Compare the correlation of survival period with survival probability. In terms of company reorganized variable, for example, after reorganizing the building construction company, the probability of failure events are getting higher, and the survival duration get shorter than other crisis events. 4. The real estate cycle impact the building construction companies a lot. If significant crisis events occurred during downturn of the real estate cycle, the failure events will be generated in such a short time.

房地產業的活動被一般人認為是「火車頭產業」，探究這種未經學術嚴謹定義的說法，涵意概有兩層：其一是認為房地產業有極大的「向後關聯」效果，將可帶動相關總體經濟產業的發展。另一層涵意是指房地產業既然有帶動總體經濟繁榮成長的功能，也就意味著房地產業活動所構成的房地產景氣具有領先總體經濟景氣的特質，而為一般景氣昇沉的預期訊號。惟這種說法似乎與現實情況不合：現總體經濟景氣已有復甦跡象，但房地產業卻相對的毫無起色，因此本研究從「房地產業對總體經濟活動之影響分析」、「房地產景氣與總體經濟景氣在時間上領先、同時、落後關係之探討」兩部份，分別以較嚴謹的「產業關聯分析法」與「景氣綜合指標分析法」，來探討該說法的正確性及政策等含意，獲得「尚無充份的證據支持房地產業是火車頭產業」的結論。 　　有關政策涵義方面：房地產業的向後關聯效果不強，意味著政府如意圖以房地產業為振興經濟的逆循環政策應改變至回歸市場機制的調控，而不應有太多的政策介入。政府不必因總體經濟的不景氣而企圖刺激房地產景氣；亦無須強調總體景氣過熱而打壓房地產景氣。至於「房地產景氣與總體經濟景氣在時間上領先、同時、落後關係」部份，不論房地產綜合、各層面、基準循環指標之景氣與總體經濟綜合、構成房地產綜合景氣重要指標時間上關係比較中，我們有足夠的證據認為「房地產景氣落後總體經濟景氣」。在預測上的涵意是若干重要總體經濟指標可以用來預測房地產景氣未來的走勢。 / The fluctuation in the real estate market is of long-standing, and has evoked much discussion, particularly how the real estate activities and cycles are related to macroeconomics has been an important issue drawing tremendous attention in Taiwan. This research contains two parts : in the first part, we have applied the method of lnput-Output(I/O) analysis to identic the backward linkage of the real estate sector. In the second part, we try to use the method of composite indexes of business cycle for real estate cycle indicators, including individual activities, four different stages of real estate life cycle -- investment, construction, transaction, and utilization, to clarify the " timing " relationship between business cycle and real estate cycle. 　　Based on the economic analysis, the results of this research are following : 　　1. We have not found strong evidence supporting the important backward linkage of the real estate sector. It means, in the view of using real estate activities for pushing macroeconomics, the government should not intervene the activities of real estate industry to market mechanism due to the effect of real estate activities contribute little feedback to macroeconomics. 　　2. Our investigation reveals the macro-variables, such as GDP, M2, the index of stock market, CPI, composite index etc. , tend to be leading indicators of real estate activities over twelve months approximately. This means, in the view of forecasting, we can use certain macro-variables to forecast the trend of real estate cycle in the fliture.