[pt] Este trabalho tem por objetivo analisar uma das formas de financiamento da República Federativa do Brasil: a venda de títulos da dívida pública. Para isso serão analisadas diversas informações oficiais dos órgãos competentes, relacionadas às regras que permeiam este tipo de negociação. Além disso, serão explorados trabalhos correlatos e suas principais contribuições. Por fim, o texto busca mostrar qual formato de leilão é, teoricamente, a mais vantajosa para o Tesouro Nacional negociar seus títulos de dívida. / [en] This work aims to analyze one of the forms of financing the Federative Republic of Brazil: the sale of government bonds. For this, varied information from official agencies related to the rules that govern this type of negotiation will be analyzed. In addition, related works and their main contributions will be explored. Finally, the text seeks to show which auction format is, theoretically, the most advantageous for the National Treasury to negotiate its debt securities.

Art_Value is a startup whose purpose is to create an innovative marketplace where new artworks, based on numbers, are created, distributed through auctions and traded. Online auctions have added new advantages of new technologies and trigger more emotions than online shopping. Even though there is a big virtual world, the abstract digital art world is still small and there are not many platforms providing it. Art_Value project wants the user to generate the digital art that he wants to acquire. The platform to provide that service is a website.In this report describes the user experience design and the front end development and testing of the prototype of the auction page of the website. The design methodology used is the Double Diamond, formed by four stages: discover, define, develop and deliver. The programming languages and libraries used are HTML, CSS, JavaSript and React. The result of the work is the front end prototype of the auction page of the website with an auction system simulated to recreate as realistically as possible the user experience. User experience testing has been done and its results have been analysed and defined as improvements for the future versions. / Art_Value är en startup som syftar till att skapa en innovativ marknadsplats där nya konstverk baserade på tal skapas, distribueras via auktioner och handlas. Online-auktioner har lagt till nya fördelar med ny teknik och utlöser fler känslor än e-handel. Även om det finns en stor virtuell värld är den abstrakt digital konstvärld fortfarande liten och det finns inte många plattformar som tillhandahåller den. Art_Value-projektet vill att användaren ska skapa den digitala konsten som han villförvärva. Plattformen för att tillhandahålla den tjänsten är en webbplats.I denna rapport beskrivs användarupplevelsedesignen och framsidans utveckling och testning av prototypen på webbplatsens auktionssida. Den använda designmetoden är Double Diamond, som bildas av fyra steg: upptäck, definiera, utveckla och leverera. Programmeringsspråken och biblioteken som används är HTML, CSS, JavaScript och React. Resultatet av arbetet är framsidans prototyp på webbplatsens auktionssida, med ett auktionssystem som simuleras för att så realistiskt som möjligt återskapa användarupplevelsen. Användarupplevelsen har testats och dess resultat har analyserats och definierats som förbättringar för framtida versioner.

This research thesis explores the evolving nature of institutional archival acquisitions, emphasizing the economic and symbolic value of archives. Despite it being relatively underexplored and its status as a niche market, the market concerning private archives bear real effects on donor choices and interinstitutional competition, and no less holds the potential for expansion. This study aims to investigate how the market influence public archive institutions' capacity to acquire new archive materials, as well as the economic and cultural resources they possess to compete as go-to repositories and market players. The objective is realized through semi-structured interviews conducted in Sweden and the United Kingdom. The respondent from The National Archives (TNA) of the United Kingdom contributes unique insights through the institution's specific efforts to strengthen the position of archival institutions in the market. E-mail interviews with respondents from several of Sweden's major archival and manuscript institutions also contribute to this dataset. Data collection occurred in September 2023, with on-site interviews at TNA facilitated by Uppsala University's generous support. Results indicate that institutions face consequences regarding access to material, due to new wealthy market stakeholders, an increase in price, and sellers’ opportunism. A proposed paradigm shift calls for revised guidelines to secure the long-term mission of archival institutions, coupled with increased research to understand the evolving forces affecting them. This is a two-year master’s thesis in Archival Science.

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<p dir="ltr">Amidst the rising popularity of digital marketplaces, addressing issues such as non-<br>payment/non-delivery crimes, centralization risks, hacking threats, and the complexity of<br>ownership transfers has become imperative. Many existing studies exploring blockchain<br>technology in digital marketplaces and asset management merely touch upon various application scenarios without establishing a unified platform that ensures trustworthiness and<br>efficiency across the product life cycle. In this thesis, we focus on designing a reliable and efficient e-commerce model to trade various assets. To enhance customer engagement through<br>consensus, we utilize the XGBoost algorithm to identify loyal nodes from the platform entities pool. Alongside appointed nodes, these loyal nodes actively participate in the consensus<br>process. The consensus algorithm guarantees that all involved nodes reach an agreement on<br>the blockchain’s current state. We introduce a novel consensus mechanism named Modified-<br>Practical Byzantine Fault Tolerance (M-PBFT), derived from the Practical Byzantine Fault<br>Tolerance (PBFT) protocol to minimize communication overhead and improve overall efficiency. The modifications primarily target the leader election process and the communication<br>protocols between leader and follower nodes within the PBFT consensus framework.</p><p dir="ltr"><br>In the domain of tangible assets, our primary objective is to elevate trust among various<br>stakeholders and bolster the reputation of sellers. As a result, we aim to validate secondhand<br>products and their descriptions provided by the sellers before the secondhand products are<br>exchanged. This validation process also holds various entities accountable for their actions.<br>We employ validators based on their location and qualifications to validate the products’<br>descriptions and generate validation certificates for the products, which are then securely<br>recorded on the blockchain. To incentivize the participation of validator nodes and up-<br>hold honest validation of product quality, we introduce an incentive mechanism leveraging<br>Stackelberg game theory.</p><p dir="ltr"><br>On the other hand, for optimizing intangible assets management, we employ Non-Fungible<br>Tokens (NFT) technology to tokenize these assets. This approach enhances traceability of<br>ownership, transactions, and historical data, while also automating processes like dividend<br>distributions, royalty payments, and ownership transfers through smart contracts. Initially,<br>sellers mint NFTs and utilize the InterPlanetary File System (IPFS) to store the files related<br>to NFTs, NFT metadata, or both since IPFS provides resilience and decentralized storage solutions to our network. The data stored in IPFS is encrypted for security purposes.<br>Further, to aid sellers in pricing their NFTs efficiently, we employ the Stackelberg mechanism. Furthermore, to achieve finer access control in NFTs containing sensitive data and<br>increase sellers’ profits, we propose a Popularity-based Adaptive NFT Management Scheme<br>(PANMS) utilizing Reinforcement Learning (RL). To facilitate prompt and effective asset<br>sales, we design a smart contract-powered auction mechanism.</p><p dir="ltr"><br>Also, to enhance data recording and event response efficiency, we introduce a weighted<br>L-H index algorithm and transaction prioritization features in the network. The weighted<br>L-H index algorithm determines efficient nodes to broadcast transactions. Transaction prior-<br>itization prioritizes certain transactions such as payments, verdicts during conflicts between<br>sellers and validators, and validation reports to improve the efficiency of the platform. Simulation experiments are conducted to demonstrate the accuracy and efficiency of our proposed<br>schemes.<br></p>

Der erste Artikel liefert Beweise dafür, dass ein Liquiditätsschock bei geschlossenen Fonds zu einer Liquiditätsverschlechterung bei offenen Fonds führen kann. Unsere Ergebnisse zeigen, dass Aktien von geschlossenen Fonds, die aufgrund eines Marktversagens notverkauft wurden, temporär im Preis sinken. Offene Fonds, die viele der betroffenen Aktien halten, erleiden daraufhin einen Kapitalabfluss, der weitere Notverkäufe bedingt. Dies unterstreicht die Ansteckungsgefahr zwischen den beiden Finanzmärkten. Der zweite Artikel untersucht, ob Fonds, die mit Staatsanleihen handeln, ihr Risiko durch den Wertpapierverleih erhöhen, indem sie die hierbei erhaltenen Sicherheiten risikoreich reinvestieren. Hiermit konsistent finden wir, dass die Returnvolatilität von Fonds ansteigt, je mehr Wertpapiere verliehen werden. Diese Korrelation ist nur evident, wenn der für den Wertpapierverleih verantwortliche Agent bereits in der Vergangenheit solch eine Strategie praktiziert hat. Sie verschwindet hingegen, wenn der Agent Sicherheiten nicht risikoreich reinvestieren kann. Im dritten Artikel stellen wir ein neues Maß vor, mit dem sich die Handelsaktivität von Fonds drei Tage vor den Geschäftsberichten untersuchen lässt. Stark handelnde Fonds halten bei Berichtsschluss mehr Gewinner- und weniger Verliereraktien. Zudem sind die üblichen Maße, die zur Identifizierung von Window Dressing verwendet werden, signifikant höher. Aktien, die in den letzten drei Tagen vor den Juli und Dezember Berichten einen starken Nachfrageüberschuss aufweisen, steigen in dieser Periode um durchschnittlich 20 Bsp. Dieser Anstieg ist nicht durch Informationstheorien erklärbar, da die Preise innerhalb von einer Woche auf ihr ursprüngliches Niveau zurückfallen. Aktien mit hoher Liquidität zeigen geringere Anstiege und kehren schneller zum Ausgangspreis zurück. Die Preisbewegungen lassen sich nicht durch einen einzelnen Faktor, wie Window Dressing oder Portfolio Pumping, erklären. / The first paper provides evidence that a liquidity shock to closed-end funds can transmit to open-end funds. Using the failure of the market for auction rate securities we show that forced asset sales of highly levered closed-end funds result in temporary price declines in those assets. Open-end funds that hold significant numbers of the affected stocks in turn experience outflows, forcing them to conduct additional fire-sales. These forced sales induce additional price pressure consistent with financial contagion. The second paper examines whether mutual bond funds increase their risk exposure through securities lending transactions by reinvesting the cash collateral of these transactions in risky assets. Consistent with such behavior, we find that the return volatility of government bond funds increases with the percentage of securities on loan. This relation is only evident among funds whose lending agent likely reinvests the lending collateral riskily and disappears if the lending program is managed by agents who typically cannot make risky reinvestments. The third paper provides a new way to measure the trading activity by mutual funds in the last three days of their reporting periods. Consistent with window dressing, heavy end-of-period (EoP) traders report more winner, fewer loser stocks and higher return and rank gaps, yet perform no better. Stocks with a high positive EoP trade imbalance show significant price increases of about 20 bps at the end of reporting periods in June and December. Inconsistent with information trading, prices revert within a week. Liquid stocks appreciate less strongly and revert more quickly. Finally, we show that window dressing, portfolio pumping, or fund flows alone are unlikely to explain our results.

In this study, we explore models for optimal bidding in auctions on the bond market using data gathered from the Bloomberg Fixed Income Trading platform and MIFID II reporting. We define models that aim to fulfill two purposes. The first is to hit the best competitor price, such that a dealer can win the trade with the lowest possible margin. This model should also take into account the phenomenon of the Winner's Curse, which states that the winner of a common value auction tends to be the bidder who overestimated the value. We want to avoid this since setting a too aggressive bid could be unprofitable even when the dealer wins. The second aim is to define a model that estimates a quote that allows the dealer to win a certain target ratio of trades. We define three novel models for these purposes that are based on the best competitor prices for each trade, modeled by a Skew Exponential Power distribution. Further, we define a proxy for the Winner's Curse, represented by the distance of the estimated price from a reference price for the trade calculated by Bloomberg which is available when the request for quote (RFQ) arrives. Relevant covariates for the trades are also included in the models to increase the specificity for each trade. The novel models are compared to a linear regression and a random forest regression method using the same covariates. When trying to hit the best competitor price, the regression models have approximately equal performance to the expected price method defined in the study. However, when incorporating the Winner's Curse proxy, our Winner's Curse adjusted models are able to reduce the effect of the Winner's Curse as we define it, which the regression methods cannot. The results of the models for hitting a target ratio show that the actual hit ratio falls within an interval of 5% of the desired target ratio when running the model on the test data. The inclusion of covariates in the models does not impact the results as much as expected, but still provide improvements with respect to some measures. In summary, the novel methods show promise as a first step towards building algorithmic trading for bonds, but more research is needed and should incorporate more of the growing data set of RFQs and MIFID II recorded transaction prices. / I denna studie utforskar vi modeller för optimal budgivning för auktioner på obligationsmarknaden med hjälp av data som samlats in från plattformen Bloomberg Fixed Income Trading och MIFID II-rapportering. Vi definierar modeller som ämnar att uppfylla två syften. Det första är att träffa det bästa konkurrentpriset så att en handlare kan vinna auktionen med minsta möjliga marginal. Denna modell bör också ta hänsyn till fenomenet Winner's Curse, som innebär att vinnaren av en så kallad common value auction tenderar att vara den budgivare som överskattat värdet. Vi vill undvika detta eftersom det kan vara olönsamt att skicka ett alltför aggressivt bud även om handlaren vinner. Det andra syftet är att definiera en modell som uppskattar ett pris som gör det möjligt för handlaren att vinna en viss andel av sina obligationsaffärer. Vi definierar tre nya modeller för dessa ändamål som bygger på de bästa konkurrentpriserna för varje transaktion vi har data på. Dessa modelleras av en Skew Exponential Power-fördelning. Vidare definierar vi en variabel som indirekt mäter fenomenet Winner's Curse, representerad av budprisets avstånd från ett referenspris för transaktionen beräknad av Bloomberg som är tillgänglig när en request for quote (RFQ) anländer. Relevanta kovariat för transaktionen implementeras också i modellerna för att öka specificiteten för varje transaktion. De nya modellerna jämförs med en linjärregression och en random forest-regression som använder samma kovariat. När målet är att träffa det bästa konkurrentpriset ger regressionsmodellerna ungefär samma resultat som expected price-modellen som definieras i denna studie. När man däremot integrerar effekten av Winner's Curse med den definierade indirekta variablen kan vår Winner's Curse-justerade modell minska effekten av Winner's Curse, vilket regressionsmetoderna inte kan. Resultaten av modellerna som ämnar vinna en förbestämd andel av transaktionerna visar att den faktiska andelen transaktioner som man vinner faller inom ett intervall på 5% kring den önskade andelen när modellen körs på testdata. Att inkludera kovariat i modellerna påverkar inte resultaten till den grad som uppskattades, men ger mindre förbättringar med avseende på vissa mättal. Sammanfattningsvis visar de nya metoderna potential som ett första steg mot att bygga algoritmisk handel för obligationer, men mer forskning behövs och bör utnyttja mer av den växande datamängden av RFQs och MIFID II-rapporterade transaktionspriser.

C2C（consumer to consumer）模式的拍賣網站在近年來成為新興的購物通路，它的優點是不需出門就可以找到便宜、多樣化的商品，還可以享受競標購物的樂趣，因此吸引眾多消費者上網尋寶。 過去國內對於拍賣網站的研究多限於競標機制、交易安全、交易成本等面向，縱使有關於消費者行為的研究，大多將重點放在哪些因素會影響消費者使用拍賣網站的意願。然而當消費者開始使用拍賣網站後，究竟是如何處理眾多的資訊？又如何做成購物決策呢？本研究從消費者心理的角度，試圖瞭解什麼樣的訊息設計能夠吸引買方，進而促進交易的達成。 本研究採取實驗法，採用2×2×2之多因子設計，操弄之自變項包括產品類型（搜尋品╲經驗品）、出價次數（低╲高）、和訊息來源（賣家╲買家），依變項為產品態度和購買意願。主要在探討產品類型、出價次數、和訊息來源是否分別對產品態度和購買意願產生影響？又產品類型和出價次數、產品類型和訊息來源之間是否產生交互作用？ 研究結果主要有以下幾點發現：(1)產品類型對購買意願具有顯著影響，其中以搜尋品之購買意願較高；(2)訊息來源對產品態度和購買意願具有顯著影響，其中以買家訊息來源較佳；(3)訊息來源和產品類型具有交互效果，當產品類型為搜尋品時，訊息來源對產品態度和購買意願沒有顯著影響，但當產品類型為經驗品時，買家訊息來源之產品態度和購買意願顯著高於賣家訊息來源；(4)出價次數之假設未獲支持，推測主要原因是出價次數可能同時具有正反兩個方向的影響力，這可以由「從眾」和「反從眾」的理論來解釋。 綜合上述發現，提出幾點實務建議，期望能供拍賣網站經營者強化網站功能、以及賣家設計商品訊息時之參考：(1)在拍賣網站上銷售搜尋性產品較為有利；(2)在商品訊息中引用舊顧客之正面意見，可以提升銷售；(3)對於經驗性產品而言，舊顧客的口碑更加重要。

Die Büchersammlung des Göttinger Universitätsprofessors und reformierten Pastors Lüder Kulenkamp (1724-1794) bildet mit über 9.000 Handschriften, Abschriften, Inkunabeln und Drucken ab 1501 die viertgrößte private Gelehrtenbibliothek Göttingens im 18. Jahrhundert. Die Sammlung ist ausschließlich über den 1796 gedruckten Auktionskatalog sowie zwei, mit Käufer- und Preisangaben versehene durchschossene Exemplare dokumentiert. Über inhaltliche Aussagen hinaus, die den hybriden Charakter der Sammlung als Arbeitsinstrument und bibliophile Kollektion zugleich offenlegen, versucht die Arbeit, unter Einbeziehung von Marginalien und handschriftlichen Einträgen Kulenkamps sowie von in Vorlesungen benutzten bzw. in eigenen Publikationen zitierten Titeln, ein Bild des gelehrten Büchersammlers und -lesers an seinem Standort und zu seiner Zeit zu vermitteln. Die durchschossenen Exemplare des Versteigerungskatalogs bilden quellenorientiert die Basis für bibliothekarisch motivierte Käufe seitens der Bodleian Library, der herzoglichen Bibliothek Gotha und der Universitätsbibliothek Göttingen sowie für privat motivierte Käufe seitens Studenten, Buchantiquariaten und akademischen Sammlern, die das Erstellen gesellschaftlicher und individueller Rezeptions- und Leserbiographien ermöglichen. Der in Bibliotheken gelangte Bestand der Büchersammlung wird darüberhinaus im Sinne einer Provenienzaufarbeitung per Autopsie erschlossen. / The private library of the university professor and reformed pastor Lüder Kulenkamp (1724-1794) forms with over 9.000 manuscripts, transcripts, incunables and printed books the fourth largest private book collection in Göttingen during the eighteenth century. The collection is documented by an auction catalogue printed in 1796, of which two interfoliated copies have been located that provide useful information about buyers and prices. The dissertation delves into each of the titles within Kulenkamp’s library, while pointing out the hybrid character of the collection, which was both an instrument for teaching and research and the result of the owner’s bibliophilia. A careful consideration of Kulenkamp’s marginalia and handwritten notes, his course announcements and the titles of the books he refers to in his writings provides a lively picture of how an erudite book collector and reader might have looked like in his place and time. The interfoliated exemplars of the auction catalogue were the basis for Kulenkamp’s books being the subject of library acquisitions that were decided for at the Bodleian Library, the Herzogliche Bibliothek Gotha and the Universitätsbibliothek Göttingen as well as for private acquisitions by students, book antiquarians and academic collectors. They are of great interest for the development of public and private book circulation and the shaping of readers’ biographies. In compliance with the requirements of provenance-research, all books of the collection of which we know they had been acquired by public libraries have been looked into by autopsy.

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