Esta investigación rescata y contrasta, mediante una revisión literaria, las diversas estrategias empleadas por las empresas que no pertenecen al sistema financiero (empresas no financieras), para la gestión de sus riesgos operacionales provenientes de sus procesos internos, del personal, de la tecnología de la información, por eventos externos y relacionados con el ámbito legal. Asimismo, se expone la aplicación de diversos sistemas, prácticas y métodos que permiten la implementación y el desarrollo exitoso de las estrategias orientadas a la gestión del riesgo operacional. Finalmente, se presentan conclusiones basadas en el contraste y la importancia de las estrategias expuestas, así como recomendaciones para aplicar en estudios posteriores o en el contexto particular de una empresa. / Through a literary review, this research rescues and contrasts the various strategies used by companies that do not belong to the financial system (non-financial companies), for the management of their operational risks arising from their internal processes, personnel, information technology, by external events and related to the legal field. Likewise, the application of various systems, practices and methods that allow the successful implementation and development of strategies aimed at managing operational risk is exposed. Finally, conclusions are made based on the contrast and the importance of the exposed strategies, as well as recommendations for their application in subsequent studies or in the particular context of a company. / Trabajo de Suficiencia Profesional

Bakgrund: Digitaliseringen har lett till förändrade förutsättningar för finansmarknaden och finansiella tjänster som Swish och Bank-ID är idag väletablerade och används av miljontals svenskar. I takt med utökad innovation har fintech-bolagen vuxit fram, vilka sträcker sig från mindre start-ups till framgångsrika aktörer som Klarna. Fintech-bolag erbjuder finansiella lösningar på ett digitalt innovativt sätt. Till följd av införandet av PSD2 som innebär att banker är skyldiga att möjliggöra transaktion och kontoinformation till tredjepartsaktörer, har intresset vuxit bland nya aktörer att ge sig in i finansbranschen. För bankerna har detta inneburit förändrade marknadsförutsättningar med kunder som väljer att ha sitt finansiella innehav hos olika finansiella aktörer. Bankerna har inte längre den hela bankkunden och ett sätt att bemöta den nya marknadssituationen har varit för bankerna att ingå strategiska allianser med fintech-bolag.   Syfte: Syftet med uppsatsen har varit att undersöka och identifiera vilka strategiska val de fyra största bankerna i Sverige har gjort för att möta den nya utmaningen från fintech-bolag.  Metod: Studien är en kvalitativ fallstudie, vars datainsamling inhämtats från fem semistrukturerade intervjuer med respondenter från de fyra största bankerna i Sverige. Studien har en deduktiv ansats med induktiva inslag och intervjuunderlaget framtogs utifrån vald referensram. Utifrån empiri, referensram samt tidigare forskning har analys genomförts för att redogöra bankernas strategiska val samt operativa risker.      Slutsats: Studien visar att de fyra största bankerna i Sverige använt strategier av varierande karaktär när de ingått samarbeten med fintech-bolag. Fokus på snabbhet, för att som bank vara aktuell på marknaden samt en ökad flexibilitet som mindre formellt knutna samarbeten bidrar till, identifieras som anledningar till att bankerna väljer att ingå samarbeten med fintech-bolag. Studien identifierar två huvudsakliga orsaker som motverkar bankernas innovationskraft, vilka grundar sig i en historisk passivitet till innovation samt omfattande regleringar. Vidare argumenteras skillnader i kultur och riskattityd som försvårande omständigheter för ett framgångsrikt samarbete mellan parterna. I samband med strategiska allianser har flertalet operativa risker identifierats, vilka riskerar få konsekvenser på bankernas rykte och varumärke. Samarbetena riskerar medföra konsekvenser som berör hela bankernas verksamheter, varför grundläggande riskanalys blir viktigt för bankerna att genomföra innan samarbetena ingås. Däremot konstaterar studien att svårigheter uppstår vid utförandet av riskanalys till följd av att många nya fintech-bolag saknar den bolagsdata som krävs för att fastställa riskprofil.

In this doctoral thesis is suggested the methodics for determination the risk structure depending on the corporate life cycle with considering the sector sensitivity to the economic cycle. The share of the operational and financial risk is calculated using the beta coefficient, in which the selected measuring quantities are included. The phases of the corporate life cycle are identified according to the quadrants of the Boston matrix and the sector sensitivity to the economic cycle is determined using the Spearman´s rank correlation coefficient describing the relation between the gross domestic product and sales of the sector. The methodics is applicable for both managers and investors.

Purpose This paper aims to investigate the attributes and information content of risk reporting in two different institutional and regulatory, namely, Canadian and German, settings during the period surrounding the financial crisis of 2008. Design/methodology/approach For a matched sample of manufacturing firms in the period 2006–2010, this study conducts a detailed content analysis of annual reports to assess and compare the volume and patterns of risk disclosures. Panel regressions are used to explore how risk disclosures related to corporate risk proxies and performance indicators. Findings Over the sample period, Canadian and German firms increase the volume but largely maintain the patterns of risk disclosures. Risk disclosures relate to corporate risk proxies but are not incrementally informative to assess firm performance. Originality/value The paper contributes to research on risk reporting by providing detailed cross-country evidence for a period particularly shaped by significant risk. The findings have implications for the regulation and usefulness of risk reporting.

[pt] O gerenciamento de risco em instituições bancárias, mais do que mera imposição das agências reguladoras distingue-se como fator de sucesso na melhoria dos processos, aumentando o resultado financeiro. Após o Acordo da Basiléia, a gerência de riscos de mercado e de crédito, cuja atuação se dá sobre as receitas, passou a ser realizada. Entretanto, alguns riscos atuam sobre as despesas, destacando-se o operacional, que é o risco de perdas oriundas de problemas com controles internos, sistemas, pessoas e eventos externos. O objetivo deste trabalho foi elaborar uma revisão abrangente da literatura e um protótipo de sistema computacional que permite medir o VaR do risco operacional de uma unidade de risco, utilizando o Modelo de Distribuição de Perdas (LDA), e aplicar modelos causais que expliquem estas perdas. Este protótipo é uma aplicação Internet/intranet desenvolvida na linguagem ASP e utilizou o MS-Access como banco de dados. Para os cálculos estatísticos, implementou-se uma interface de comunicação aplicação/MATLAB. A revisão da literatura objetivou a familiarização com conceitos básicos de risco operacional descritos pelo Comitê da Basiléia. Adicionalmente, apresentou detalhes técnicos para implementação do LDA, tais como Distribuição de Freqüência e de Severidade, métodos para determinação da distribuição de perdas operacionais e construção da base de dados de perdas. Independente das particularidades institucionais, esse protótipo permite a visualização das providências estratégicas e operacionais a serem tomadas para implementação e implantação de um sistema similar. Marca um ponto de partida para o desenvolvimento de um produto abrangente de gerenciamento de risco operacional nas mais variadas instituições e segmentos de mercado. / [en] The risk management in financial institutions, more than just an imposition of the regulatory agencies, represents a success factor in the processes enhancement, elevating the financial results. After Basel Accord, credit and market risks management, which acts over earnings, were implemented. However, some risks are associated to the expenses, such as the operational risk, related to the losses from internal control, systems, human and external events problems. The aim of the present study was the elaboration of an extensive literature review and the development of a computation system prototype able to measure the operational risk VaR of a risk unit, using the Loss Distribution Approach (LDA) and to apply causal models that explain these losses. This prototype is an Internet/intranet application developed in ASP language, using MS-Access as database. For statistical evaluation, an interface between the application and MATLAB was implemented. The literature review pretended to give a better understanding of the basic concepts of operational risk described by the Basel Committee. In addition, it presented technical details for LDA implementation, such as Frequency and Severity Distribution, methods for the distribution of the operational losses determination and losses database construction. Independent of institutional peculiarities, this prototype allows the observation of strategic and operational providences to be taken for implementation and implantation of a similar system. It determines a startingpoint in the development of an operational risk management product valuable in several institutions and market segments.

This thesis explores a machine learning task where the data contains not only numerical features but also free-text features. In order to employ a supervised classifier and make predictions, the free-text features must be converted into numerical features.  In this thesis, an algorithm is developed to perform that conversion. The algorithm uses a pre-trained word embedding model which maps each word to a vector. The vectors for multiple word embeddings belonging to the same sentence are then combined to form a single sentence embedding. The sentence embeddings for the whole dataset are clustered to identify distinct groups of free-text strings. The cluster labels are output as the numerical features. The algorithm is applied on a specific case concerning operational risk control in banking. The data consists of modifications made to trades in financial instruments. Each such modification comes with a short text string which documents the modification, a trader comment. Converting these strings to numerical trader comment features is the objective of the case study. A classifier is trained and used as an evaluation tool for the trader comment features. The performance of the classifier is measured with and without the trader comment feature. Multiple models for generating the features are evaluated. All models lead to an improvement in classification rate over not using a trader comment feature. The best performance is achieved with a model where the sentence embeddings are generated using the SIF weighting scheme and then clustered using the DBSCAN algorithm. / Detta examensarbete behandlar ett maskininlärningsproblem där data innehåller fritext utöver numeriska attribut. För att kunna använda all data för övervakat lärande måste fritexten omvandlas till numeriska värden. En algoritm utvecklas i detta arbete för att utföra den omvandlingen. Algoritmen använder färdigtränade ordvektormodeller som omvandlar varje ord till en vektor. Vektorerna för flera ord i samma mening kan sedan kombineras till en meningsvektor. Meningsvektorerna i hela datamängden klustras sedan för att identifiera grupper av liknande textsträngar. Algoritmens utdata är varje datapunkts klustertillhörighet. Algoritmen appliceras på ett specifikt fall som berör operativ risk inom banksektorn. Data består av modifikationer av finansiella transaktioner. Varje sådan modifikation har en tillhörande textkommentar som beskriver modifikationen, en handlarkommentar. Att omvandla dessa kommentarer till numeriska värden är målet med fallstudien. En klassificeringsmodell tränas och används för att utvärdera de numeriska värdena från handlarkommentarerna. Klassificeringssäkerheten mäts med och utan de numeriska värdena. Olika modeller för att generera värdena från handlarkommentarerna utvärderas. Samtliga modeller leder till en förbättring i klassificering över att inte använda handlarkommentarerna. Den bästa klassificeringssäkerheten uppnås med en modell där meningsvektorerna genereras med hjälp av SIF-viktning och sedan klustras med hjälp av DBSCAN-algoritmen.

Магистерская диссертация посвящена исследованию влияния операционного риска на финансовые показатели банка и выявлению специфики различных подходов к оценке операционного риска. В качестве научной новизны выявлено наличие обратно-пропорциональной корреляции между операционным риском и рентабельностью активов банка на основе корреляционно-регрессионного анализа, что позволяет прогнозировать величину ROA при изменении риск-метрик банка. На основе методических подходов BIA и TSA определена шкала критичного значения операционного риска. / The master's thesis is devoted to the study of the impact of operational risk on the financial performance of banks and the study of various approaches to assessing operational risk. As a scientific novelty, the presence of an inversely proportional correlation between operational risk and the profitability of the bank's assets was revealed, based on correlation and regression analysis, which makes it possible to predict the value of ROA when the bank's risk metrics change, and based on the calculations of operational risk and the bank's equity adequacy ratio based on the methodological approaches of BIA and TSA, the scale of critical operational risk values.

Purpose This paper aims to investigate the attributes and information content of risk reporting in two different institutional and regulatory, namely, Canadian and German, settings during the period surrounding the financial crisis of 2008. Design/methodology/approach For a matched sample of manufacturing firms in the period 2006–2010, this study conducts a detailed content analysis of annual reports to assess and compare the volume and patterns of risk disclosures. Panel regressions are used to explore how risk disclosures related to corporate risk proxies and performance indicators. Findings Over the sample period, Canadian and German firms increase the volume but largely maintain the patterns of risk disclosures. Risk disclosures relate to corporate risk proxies but are not incrementally informative to assess firm performance. Originality/value The paper contributes to research on risk reporting by providing detailed cross-country evidence for a period particularly shaped by significant risk. The findings have implications for the regulation and usefulness of risk reporting.

為因應金融環境及經營風險日益複雜化，改進現行資本協定缺點，及鼓勵銀行加強風險管理，巴賽爾銀行監理委員會（以下簡稱巴賽爾委員會）於1999年6月發布「新巴賽爾資本協定」(The New Basel Capital Accord)第一版草案，在歷經2001年1月第二版修訂草案及三次量化影響評估後，2003年4月29日發布第三版修訂草案，預計2004年中正式定案，自2006年開始實施。 「新巴賽爾資本協定」主要修訂內容包括：1.強調「最低資本需求」、「監理審查程序」及「市場制約機能」等三大支柱；2.除原有信用風險及市場風險外，增加作業風險應計提資本；3.修訂及增訂信用風險及作業風險資本計提方法，除標準法外，允許銀行使用內部風險模型計提信用風險所需資本，並對信用風險抵減及資產證券化作進一步規範。本次修訂幅度頗大，預期對我國銀行業及金融監理機關均將產生重大影響。 美國實施新資本協定預計採雙軌制，亦即國際性大型銀行採用信用風險IRB法及作業風險AMA法，其他銀行則沿用現行資本計提方法，惟其強調原有之槓桿比率及立即導正措施(PCA)仍將繼續適用，將進行量化影響評估以分析公平競爭議題，並已陸續發布企業授信內部評等系統及作業風險進階衡量法之監理準則。英國則採不強迫、不禁止原則，由銀行自行衡酌成本效益，決定是否採用進階方法，並將進一步研擬相關規範。我國係由財政部金融局及銀行公會組成共同研究小組，其下分六組：信用風險標準法組、信用風險IRB法組、作業風險組、市場紀律及資產證券化組、監理審查組、市場風險組，分四階段研究與現行規範之差異、可能衝擊、我國可採行內容及研擬法規修訂。依據中央銀行金檢處92年12月對49家本國銀行進行調查，6家銀行計畫採用內部評等基礎法計提信用風險所需資本，43家銀行則採標準法或簡化標準法；作業風險則19家將採標準法，30家採基本指標法。 為協助我國順利推動新資本協定，研擬實施建議如下： 一、 成立監理機關專責小組，統籌實施事宜及彙整各界建議形成決策 二、 評估確定實施範圍及時程 三、 實施第一支柱 (一) 進行量化影響評估 (二) 儘早研擬監理機關裁量項目 (三) 瞭解銀行風險管理實務及準備狀況 (四) 鼓勵銀行檢視資料庫，增進風險管理資訊系統 (五) 建置全國性信用資料庫，建立我國信用風險指標 (六) 研擬我國適用之新資本協定草案及監理審查原則 (七) 加強監理機關間資訊共享 四、 實施第二支柱 (一) 要求銀行加強資本適足性自我評估 (二) 訂定銀行資本適足性審查標準及建立溝通機制 (三) 提高銀行資本適足性目標比率，建立資本緩衝 (四) 採行及早干預及立即導正措施 五、 實施第三支柱 (一) 評估我國揭露現況及銀行產生新資本協定揭露資訊之可行性 (二) 採兩層次揭露，並定期評估銀行揭露情形 六、 檢視我國資本適足性有關法規及計算方法說明 七、 其他監理議題 (一) 成立風險模型評估小組，加強監理人員專業能力訓練 (二) 金融監理架構改以風險為導向

摘 要 　　國內銀行傳統上最擅長及投注最多資源之領域即是企業金融業務，然經驗顯示此處亦為金融業者蒙受最多損失之處，甚至導致中興銀行及高雄企銀退出市場，大型行庫兩、三年前，每年打銷呆帳之金額係以新台幣數十億元、甚至上百億元計。其後消金業務盛行，信用卡循環信用業務之興起尤為引人注目，而現金卡亦在萬泰銀行的「George & Mary」之強勢促銷下製造出另一波高峰。然由於風險控管之鬆散，在卡債呆帳暗潮隱然成型，外資券商開始對現金卡業務暴衝至前幾名之銀行投以質疑的眼光之際，部份銀行也在此刻宣布停掉現金卡之業務。「財富管理」便是在銀行亟思轉向提高以手續費收入為基礎之殷殷期盼下，在國內銀行的業務領域中逐漸萌芽、茁壯。 在短短兩三年間，財富管理業務從在銀行營業廳一隅的小規模經營，到現在引領國人開啟投資理財之風潮，其方興未艾之勢頗值吾人加以探討。其成因包括人口老化問題衍生之退休規劃需求，因經濟活動之暢旺，造成富裕人口及富裕家庭數目之提昇，因微利時代的來臨等，皆實質地催化民眾對於理財之迫切需求，而「財富管理」即順應這種經濟金融環境之變遷，此其時地走入人群，成為眾所矚目之焦點，也成為這一年來銀行短兵相接之處。 　　其次，國際金融法規之變動，尤其是新巴塞爾資本協定(The Basel Capital Accord II)即將在2006年底實施，導致銀行在經營策略上不得不思考導入既能獲利，又屬低度資本需求業務之必要性，更何況銀行本身本應多元化其業務收入來源，以分散業務經營之風險。本文即從這些角度，探討財富管理業務之確具經營價值。 　　然財富管理業務之經營，終究有其須注意之風險，一為「策略風險」，一為「作業風險」。雖「策略風險」難以量化，也未普遍為業者所重視，然有謂「錯誤的決策，比貪污更可怕」，姑不論此言之對錯，但錯誤之決策會造成績效之不彰及資源之浪費，確屬不爭之事實。故本文專章論述經營策略，期所提出之分析與探討有助於業者經營時之省思。另有關「作業風險」，亦是日常之業務經營中稍有不慎即有可能對銀行造成重大損失、甚至被迫退出市場之風險。霸菱銀行殷鑑不遠，甚至以國際知名之花旗集團，其日本之私人銀行亦因涉未注意洗錢防制及資訊揭露等作業風險問題，而被勒令關閉。故內部稽核及內部控制等基本功之具體落實，確有其必要。本文就作業風險部份亦專章論述，從主管機關之相關規範，到國外相關機構之規範及做法，作業風險案例介紹，相關作業風險之管理等，皆做一分析與探討，期從所提出之案例，讓銀行業者於從事財富管理業務時，非僅注意手續費收入之多寡，或僅專注於市場佔有率之提升，而是實質注意到伴隨手續費收入而來之風險；盼所提出之風險分析，讓業者因瞭解風險之無所不在，而正視其重要性與迫切性，期將財富管理業務之作業風險減至最低。 / Abstract Just not long ago, domestic banks in Taiwan, with little differentiations, claimed their expertise in corporate finance and have allocated simultaneously most of their resources in this business. Ironically, however, corporate finance was also the area where the banking industry suffered the most. The problematic exiting of Chung Shing Bank and Kaohsiung Business Bank were obviously costly examples. Actually, almost all major banks were writing off their bad loans every year in billion of New Taiwan dollars for the past few years. Banking institutions tried to develop alternative business models by engaging in consumer banking, and some has indeed found its success. One of the stars that owned the spotlight was the revolving interest income from credit cards. Later, with the aggressive and successful marketing campaign of so-called “George & Mary” Cash Card by Cosmos Bank, the importance of consumer banking was pushed to its plateau. Nonetheless, loose risk management caused the bad debts of credit/cash cards to mount up and become potentially a serious problem. Foreign securities firms have already indicated their reservation of those top cash card business banks. A few banks have even suspended their cash card business. In light of the challenging environment facing corporate and consumer banking, banking institutions gradually turned to “Wealth Management” and holds high expectation that it will become a means to enhance their fee income. Indeed, wealth management has, in a matter of two to three years, started from a neglected corner of a bank’s business lobby developed progressively as a business trend leading how Taiwanese invest their wealth. The rapid pace of development in wealth management business certainly warrants our closer examination of various major issues relate to this phenomenon. To begin with the backgrounds, the aging of population has derived the need for retirement planning. The economic success of Taiwan over the years has contributed to the growth of numbers of wealthy families. The low interest rate environment has directed people to manage their wealth more actively. It was against this background that wealth management made its debut in the financial market, and caught the attention of the market, and became the central focus of the banking battleground. Additionally, recent changes in banking regulations, particularly, the introduction and planned implementation of Basel Capital Accord II, also pressured banking institutions to adjust their business strategy. Under Basel II, a bank will be required of more capital when engaging in corporate or consumer banking to cover credit risks. In contrast, wealth management needs to cover only operational risks. Not to mention that it also helps to diversify a bank’s source of income and risks portfolio. In terms of risks relate to wealth management, there are basically strategic risks and operational risks. Strategic risk may be difficult to quantity and certainly was not paid enough attention than it deserves. As people often said, “an erroneous strategic decision is worse than embezzlement”. Wrong decision often caused underperformance and waste of resources. This thesis, accordingly, attempts to analyze business strategies as it relates to a bank’s engagement in wealth management business. Furthermore, operational risk is also an area which could cause significant damages to a banking institution. In its worst case, operational risks might even cause the collapse of a bank. Baring’s scandal doesn’t seem to have happened that long ago. Even Citicorp private banking was sanctioned by the Japanese authority for failed to comply with the money laundry and disclosure requirements. It is therefore, essential that banks pay enough attention to its internal control and audit. This paper will also discuss operational risks issues, including relevant regulations, the practices in other major jurisdictions, case studies, and management of operational risks. The desire of the author is to alert the banking institutions that when engaging in wealth management, neither fee income nor market share should be their only focus. The effectiveness to control operational risks to its minimum is equally if not more important for a bank wishing to achieve success in wealth management business.