論文把國內十家公股銀行的放款違約資料進行合併，並且以合併後的資料，使用 CreditPortfolioView 模型建立整體公股銀行放款組合的損失分配，利用公股銀行的放款資料，探討曝險分組對於損失分配(loss distribution)的影響，並且使用重點抽樣(Importance Sampling)的方法估計風險貢獻(risk contribution, RC)，利用給定部份系統風險因子的模型，進行壓力測試(stress test)。 由本論文的實證結果可以發現同一類放款產品曝險之中，若是個別曝險有極端的曝險額，將會增加此類產品的集中度風險。若曝險總額固定，但是曝險筆數較少，每筆曝險佔總曝險的比例較大，也會產生較大的集中度，而有較大的風險值(valut at risk, VaR)、預期短缺(expected shortfall, ES)及經濟資本(economic capital, EC)，因此曝險額的設定愈粗略，將會估出較高的未預期損失。 本論文使用重點抽樣的方法，估算預期短缺的風險貢獻。並且由實證的結果， 觀察到同一類放款的經濟資本率和放款曝險額呈現正相關並且具有接近線性的關係，因此可以建立經濟資本率的線性估計式，對未來可能的放款，進行簡單的風險貢獻及經濟資本的估算。 要進行壓力測試，最大的問題是必須選擇適當的施壓變數及設定可能的逆境值(downturn values)。我們通常選擇具有經濟意含的總體因子，當作施壓變數。但是逆境值的設定，可能是主觀認定或者參考歷史資料，如果要設定多個總體因子逆境值，很容易忽略了總體變數之間的關係。本論文嘗試使用常態分配及條件常態分配的假設， 建立可能發生的壓力情境，並且利用給定部份系統風險因子的模型，進行壓力測試。

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近年來金融市場情勢瞬息萬變且波動劇烈而令投資人難以捉摸，導致被動式投資重獲投資人的青睞。市值加權法是最普遍被使用的指數編製方法，傳統市值加權指數的缺點，主要有投資組合主要集中於特定成份股與暴露於不會吸引風險溢價的各類風險因子中，這些缺點促成Smart Beta策略的發展，未來將有許多具備不同風險與報酬水準的指數供投資人參考。本研究選用近幾年提出不需仰賴預期報酬假說的等量風險貢獻度投資組合(ERC)建構方式，以台灣50為基準，利用其成份股建構投資組合，探討權重與風險分散特性，並且檢視其績效表現與報酬風險輪廓。為了有比較上的基礎，除了與台灣50做比較外，也另外選用以風險分散角度所配置的投資組合建構方法：等權重投資組合(EW)作對照。 　　研究結果發現全樣本時期，等量風險貢獻度投資組合在事後相較於台灣50擁有較低的波動度。當市場趨勢向下時，除了能維持其低波動的特性，還能提供某種程度上的抗跌能力。然而，以報酬率和Sharpe Ratio指標來看，表現皆不如台灣50，但優於等權重投資組合。同時，依不同經濟狀況與時間區間檢視投資組合績效表現，等量風險貢獻度投資組合能將波動度控制在較低水準，但績效表現上較不穩定。 　　本文透過HHI指數及吉尼係數衡量持股集中度與風險集中度。以持股權重分配的特性來說，台灣50極端集中於少數股票上，等量風險貢獻度投資組合和等權重投資組合則相對較平均。以風險權重分配的特性來說，台灣50風險權重過於集中，風險權重較平均分散的組合則為等量風險貢獻度投資組合。 / Traditional capitalization-weighted approaches are the most common ways to construct indexes. However, during market up turns, the capitalization-weighted indexes may be influenced by a small number of large-cap stocks. Smart beta indexes have recently prompted great interest among academic researchers and market practitioners. Risk-based indexes are an important category of smart beta. In this article, we explore equal risk contribution portfolio (ERC), which is risk-parity based smart beta. The portfolio implies to determine the weights so as to obtain the same risk contribution for each asset. The aim is to minimize the concentration in terms of risk contributions. In this paper, we examine whether or not ERC portfolio can outperform a buy and hold, capitalization-weighted and equally-weighted allocation in different economic environments. We also compute the parity in portfolio “risk allocation” and parity in “asset class allocation” using HHI index and Gini coefficient. 　　We consider here real-life applications with stock universe: the Yuanta /P-shares Taiwan Top 50 ETF. We compute smart beta portfolios by using the one-year empirical covariance matrix of stock returns. Empirical applications show that ERC portfolios generally are inferior in terms of return performance and Sharpe ratios. It does have some characteristics such as balanced risk allocation and less volatile performance characteristics. It also exposes to lower maximum drawdown. ERC portfolio provides the best ex ante and ex post “parity “in asset class risk contribution. On the other hand, the capitalization-weighted portfolio is concentrated in terms of weights and risk contributions. The statistics suggest to us that the capitalization-weighted portfolio’s superior Sharpe ratio is largely due to its higher returns.

本文以除權息前後累積異常報酬率為應變數，探討稅額扣抵比率及股權集中度對除權息前後累積異常報酬率的影響。研究對象為民國88年至96年間分配盈餘的國內上市公司，排除行業性質特殊之金融業，以普通最小平方法從事實證模型分析。主要實證結果彙整如下： 1.稅額扣抵比率與除權息前之累積異常報酬率呈顯著正相關，與除權息後之累積異常報酬率呈負相關，但較不顯著。此表示稅額扣抵比率的租稅因素影響在除權息前較為顯著，但在除權息後現象較不顯著。 2.股權集中度與除權息前後之累積異常報酬率的關係均未達統計上顯著水準。產生此實證結果的可能解釋有二：（1）非稅成本的考量；（2）本文以股權集中度衡量可能並未真正捕捉到個人投資人的所得稅率。 3.低稅額扣抵比率類的除權息前累積異常報酬率，較高稅額扣抵比率（基準）類樣本為低的現象，此與預期相符。但在其他加入類別虛擬變數的迴歸結果，並未發現在不同稅額扣抵比率或股權集中度下，會對除權息前後之累積異常報酬率有不同的影響。 4.公司規模及股價淨值比與除權息前後累積異常報酬率均呈顯著正向關係；股利殖利率與除權息前累積異常報酬率呈顯著正向關係，而與除權息後之累積異常報酬率呈顯著負向關係。電子業別與除權息前之累積異常報酬率呈顯著負向關係，而與除權息後之累積異常報酬率呈顯著正向關係。 在圖表的分析中，可看出高稅額扣抵比率或低股權集中度的樣本，其除權息前後累積異常報酬率波動較小，較不受除權息事件的影響。 / The main purpose of this paper is to examine, before and after the ex-dividend day, the impacts of imputation credits and ownership concentration on cumulative abnormal returns(CARs). In this paper , CARs before and after the ex-dividend day are used as the dependent variable. The data are collected from the domestic listed companies which had allocated the earnings from 1999 to 2006. Because of its special characteristics, the financial industry is excluded from the data. In order to analyze the impacts of imputation credits and ownership concentration on CARs , we used the ordinary least squares. The empirical results in this paper are summarized as follows: 1.The imputation credits have a significant positive impact on CARs before the ex-dividend day, but they don’t have a significant negative impact on CARs after the ex-dividend day. This phenomenon implies that the influence of tax factor before the ex-dividend day is more significant than that after the ex-dividend day. 2.The failure of finding a significant relation between ownership concentration and CARs of before and after the ex-dividend day maybe due to two reasons. Frist, investors may not take tax factor into account when they invest the stock. Second, the proxy variable for ownership concentration of this study may not fully capture the marginal income rate of individuals. 3.CARs before the ex-dividend day in listed company with lower imputation credit are lower than that in listed company with higher imputation credit, the empirical result matchs general intuition. But other regressions with dummy variables regarding the degree of the imputation credit and ownership concentration don’t find significant relation among the imputation credit, ownership concentration and CARs before and after the ex-dividend day. 4.The size of companies and the ratio of market price to their book value have a significant positive impact on CARs before and after the ex-dividend day. Dividend yield has a significant positive impact on CARs before the ex-dividend day, but a negative impact on CARs after the ex-dividend day. A dummy variable standing for electronic industry has a significant negative impact on CARs before the ex-dividend day, but positive impact on CARs after the ex-dividend day. In the analysis of diagrams, we find CARs before and after the ex-dividend day fluctuate less for companies with higher imputed credit or lower ownership concentration.

本文旨在探討台灣產物保險業在併購活動後市場結構之變化與產物保險公司經營之績效。本研究以赫芬德指數(Herfindahl Index)來衡量市場集中度之變化，以核保利潤(Underwriting Profit)作為經營績效指標，並採用Mason(1939)、Bain(1956)與Scherer(1970)等人提出的結構行為績效假說(Structure-conduct-performance Hypothesis)以及Rhoades(1985)提出的相對市場力量假說(Relative Market Power Hypothesis)進行市場結構與經營績效間關聯性的分析，研究期間為2000年至2006年。結構行為績效假說提出廠商的獲利主要取決於市場結構，市場集中度與廠商獲利之間存在正向關係；另一方面，相對市場力量假說主張廠商獲利與市場集中度無關，與市場佔有率呈現正向關係。 研究發現：(1)產物保險市場集中度呈現上升趨勢，市場集中度從2000年的0.0800上升至2006年的0.0913，其中保證保險、火災保險、汽車保險、工程保險、責任保險與貨物運輸保險之集中度呈現上升趨勢，而傷害保險、其他財產保險、漁船保險、船體保險與航空保險之集中度呈現下降趨勢；(2)實證結果支持結構行為績效假說，市場集中度與產物保險公司核保利潤呈現顯著正向關係，其p值為0.004。產物保險業經歷併購活動後造成市場集中度上升，併購活動對於經營績效的改善應有正面助益。 / This thesis analyzes concentration effects of merger and acquisition measured by Herfindahl index in Taiwan property-liability insurance industry. The relationships between market structure and underwriting performance are also analyzed for the time period 2000 to 2006 by testing two hypotheses: structure-conduct-performance (SCP) hypothesis which developed by Mason (1939), Bain (1956), and Scherer (1970) and relative market power (RMP) hypothesis which proposed by Rhoades (1985). The SCP hypothesis proposed that concentration is positively related to performance while the RMP hypothesis asserts that market share is positively related to performance. Implications of study results are: (1) Concentration level experiences increase from 0.0800 in 2000 to 0.0913 in 2006. Bonding & credit, fire, automobile, engineering, liability and marine cargo insurances trends to increase in concentration over the time period, whereas accident, fishing vessel, others, marine hull and aviation insurances trends to decrease; (2) The SCP hypothesis is supported. Concentration level is positively related to underwriting performance with p-value of 0.004. Higher concentration level and positive concentration-performance relationship infer that merger and acquisition activities would have positive effects upon firm performance.

本研究主要研究台灣電影產業環境及其競爭力，並透過研究給予電影產官學界在電影產業發展上的建議。研究方法是透過市場集中度瞭解目前台灣電影三大部門──製作業、發行業及映演業的市場集中情形，確立台灣電影產業之產業結構；再者，以麥克‧波特提出之產業環境類型檢視，瞭解其產業環境現況；最後以前兩步驟之結果為基礎，再經由鑽石理論之六大構面分析台灣電影產業在各項分析面向上的優、劣勢及可能的發展機會，彙整出台灣電影整體產業發展中，政府擬定政策、業者思考經營決策及電影產業學術研究上未來可行性的建議。 / The main scope of this research is to study the environment of film industry in Taiwan as well as its competitiveness. Also, throughout the research, opinions towards the film academia in the film industry shall also be elucidated. The research is carried out via acquaintance of concentration ratio of the three main parts in a film industry—production, distribution, and exhibition; furthermore, to clarify the production structure of the Taiwan film industry. Also, the current industry environment is evaluated by Michael Porter’s survey method. Lastly, based on the two aforementioned procedures of results with the application of the diamond theory altogether, a detailed analysis of the Taiwan film industry regarding the advantage and disadvantage and the relevant topics shall be further discussed.

在市場競爭不斷加劇之環境下，會計師事務所究竟要如何因應？削價競爭固然為一種經營策略，但並非長久之計。過去文獻指出，會計師事務所可藉由發展產業專業化以因應市場競爭，且會計師產業專精對審計公費有正向之影響。然而，過去文獻亦指出客戶產業特性對審計公費訂價有一定之影響力，故本研究目的乃在探討會計師產業專精對審計公費影響力之大小，及是否會計師產業專精對審計公費之影響力會大於客戶產業特性對審計公費之效果。實證結果顯示會計師產業專精與客戶產業特性兩者對審計公費皆有相當之影響力，但客戶產業特性對審計公費訂價之影響較大。另外，在將樣本區分為高科技產業與傳統產業後可發現，會計師在高科技產業之專長對客戶而言較具有價值，產業專精會計師在高科技產業對審計公費訂價之影響力較大、能夠收取較高之審計公費。 / How can accounting firms build up competitive advantages when they face increased competition? One way is to cut costs and decrease prices, but this may not be the best strategy in the long run. Casterella et al.(2004) suggest that product differentiation based on industry expertise may be a more sustainable solution because auditor specialization shows a significantly positive association with audit fees. Prior researches also indicate that client industry characteristics influence audit fees. Therefore, the main objective of this study is to examine whether auditor specialization and client industry characteristics influence audit fees and which one has greater effect. We find evidence that auditor specialization and client industry characteristics both have an influence on audit fees, while client industry characteristics exhibit even greater impacts. Furthermore relative to conventional industries, auditor specialization in high technology industries demonstrates greater value, and contributes to higher audit fees.

This study examines the effects of market concentration on firm-level productivity using data on Chinese above-scale industrial firms from 2001 to 2007. Productivity is identified as total factor productivity (TFP) and estimated using the Olley-Pakes three-step estimation in order to avoid simultaneity and selection biases. Using data on around 590,000 industrial firms, empirical results indicate that the less concentrated the market, the higher the productivity generally. However, a few industries are identified to have opposite direction; that is, the more concentrated, the more productive are the firms. In some industries, there is no significant relationship between market concentration and firm productivity.

截至2016年的統計資料，我國產險與壽險業的保險公司家數來到54家，保險業資產總額佔了全台灣所有金融機構總資產的31.78%，資產規模來到新台幣22.6兆元，在如此龐大的資產規模下，保險公司的投資組合管理變成相當的重要，重點漸漸的從投資在什麼樣的商品可以讓資金獲取最大效益轉移到了投資後的管理與部位的調整，以避免不必要的非系統性風險，有鑑於此，台灣在2003年實施了RBC制度，讓保險公司的投資組合的分配有所依據，不過仍然免不了過度集中在某些資產的問題，所以本研究的目的在於能否運用風險集中度的概念來判斷投資組合是否過度集中，而不僅僅只有投資金額的比例來做判斷。 本論文的研究方法會根據各家保險公司的實際投資組合以每半年或每年的型式分別計算Marginal Risk Contribution(MRC)的値，並且進行分析後再以Herfindahl-Hirschman Index(HHI)與 Gini Index 來檢視長期資產組合集中度的趨勢，最後的研究結果可以發現若是從邊際風險貢獻的比例來看，各保險公司的風險分布主要是集中在國內上市普通股與ETF、海內外不動產投資、國外已開發國家或新興市場上市普通股與ETF以及A評等的國外固定收益債券，而利用HHI與Gini Index兩個指標來看，各保險公司的資產集中度是逐年上升的。 / According to the statistical data in 2016, there are 54 insurance companies which includes property and casualty insurance company and life insurance company. And the scale of insurance asset is NTD 2,260 billion, accounting for 31.78% of whole asset of financial institution in Taiwan. Under huge amount of asset, the portfolio management for insurance company become more and more important. The key points of this issue are transferring to the ratio of portfolio management from choosing asset class to get maximum profit in order to avoid the nonsystematic risk gradually. Therefore, the Risk-based Capital policy has established in 2003 in Taiwan. The ratio of the insurance companies’ portfolio had the reference to allocate. However, there were some issues about the excessive concentration of some asset classes. So, the target of this study is using the concept of the risk concentration to judge the portfolio too concentrated or not. Not just judge it by its amount invested. The research process of this thesis is to calculate the marginal risk contribution value of the insurance companies’ portfolio every half a year or every year. Moreover, using the Herfindahl-Hirschman Index (HHI) & Gini Index to observe the trend of long term portfolio concentration. From the marginal risk contribution ratio. We can found the result of this study is the risk concentrated on the domestic listed common stock & ETF, domestic or foreign Real Estate, foreign developed market or emerging market listed common stock & ETF and fixed income bond (A rating). Besides, using the Herfindahl – Hirschman index and Gini index. The concentrated ratio of insurance companies’ portfolio were raising recent years.