Syndicated loans are a common debt financing format for large corporations in general. For those situated in Germany—with its bank-based financial system—such loans play a vital role. Given the multibillion volumes raised annually, the pricing of syndicated loans is economically significant, with its levels, structure, and determination having attracted the interest of researchers around the world. A critical review of the existing worldwide literature of syndicated loan pricing revealed notable gaps, including an almost complete absence of studies on the German corporate market. The overall research aim was to address this gap by exploring and analysing the “hidden drivers” of banks’ pricing of syndicated loans to German corporate borrowers, thereby developing an enriched understanding of the elements and determinants of pricing and its underlying processes and decisions. Adopting a pragmatist research paradigm, I chose a sequential mixed-methods approach, with a limited quantitative analysis preceding an extensive qualitative study. The first stage of the research was designed to evaluate the availability of reliable quantitative pricing data in the public domain—this being the main data source for the clear majority of extant studies. I found the availability and quality of pricing data for the German corporate market to be extremely limited, particularly in comparison to that available relating to the U.S. market. There was clearly much that remained unexplained; hence, primary research was required to illuminate syndicated loan pricing and the decision processes that contribute to it. The main element of the qualitative study was a series of semi-structured, in-depth interviews with a sample of bank lending professionals and key informants. The purpose of these interviews was to explore the complex realities of syndicated lending through the eyes and experiences of the people involved and to interpret the socially constructed phenomena surrounding the pricing of German corporate syndicated loans. The study succeeded in revealing and substantiating important and to date hidden phenomena concerning numerous dimensions of syndicated lending in general and pricing in particular. An explanation was developed for the relative opacity of the German corporate syndicated loan market. The study enabled significant enhancements to the understanding of the concept of pricing and its complex and interwoven elements. More broadly, a new and richer perspective was developed of syndicated lending as a behavioural phenomenon, involving a complex interplay of relationships and strategies, and involving individuals and departments within banks, between banks as members of the syndicate, and between lenders and borrowers. The insights gained informed the development of a comprehensive model of the pricing elements of syndicated lending and their determinants. This research is the first to conduct and produce an in-depth study of the internal workings of syndicated corporate lending in the German market and a study that does not rely on secondary data that are at best incomplete. It has resulted in many rich and original insights and a conceptualisation of syndicated lending that differs radically from the classical understanding of lender-borrower relationships as founded on theories of asymmetric information. The research presented here, therefore, makes significant contributions to the literature, in helping to close notable gaps in the banking and financial intermediation literature.

Master’s Thesis in Logistics and Supply Chain Management _____________________________________________________ Title:                 Postponement in Retailing Industry- A case study of SIBA Authors:         Ahmed Kemal & Naqvi Syed Mohammad Tutor:               Helgi Valur Fredriksson, Dr. Date:               May, 2010 Key Words:   Speculation, Postponement, Customer Order Decoupling point, Retailing, Supply Chain Flexibility, Agility ______________________________________________________________ Abstract Problem: Today's business environment is characterized by changing customer demands, increasing cost pressures on retailers, shorter product life cycles and products becoming obsolete shortly after their introduction. The above factors make it difficult for electronics retailers to balance the costs of dealing with excessive inventory and not be out of stock. To be competitive, retailers should delay some of their activities until customer demand becomes visible. This brings us to the phenomenon of postponement. Electronics market in Sweden faces continuous growth, although at a declining rate. This is indicative of a saturation that this sector, as a whole, is approaching to. The above problems are due to the speculative approaches and standardized products policies that are in practice. Loss of sales and customers result from these practices. The current study analyses the importance of postponement strategy and the benefits it offers. This study also tries to explore the potential solutions for retailers that postponement may relate to.   Purpose: The scope of this study is to identify possible postponement strategies needed for SIBA. Method: A case study approach has been taken. The choice of the method is qualitative with an inductive approach. This involved personal communications during interviews with the managers of SIBA, using semi structured questions to collect data.   Results: The concepts of postponement, supply chain flexibility, agility and customer order decoupling points (CODP) are closely related to one another and it has been shown that as the depth of postponement increase from right to left in the CODP continuum, the CODP changes its position, moving along the CODP continuum from right to left and towards the upstream. With this movement, the flexibility and agility in the chain increases. Our finds suggest that postponement is rather underutilized and that wastes (by way of lost sales and customers, obsolete inventory costs and storage costs) in the retailing process occur due to speculative approaches in application at the retail level. We have suggested logistics postponement for two out of three product categories and enumerated the ensuing benefits that the retailer can derive by way of enhanced flexibility, agility and reductions in wastages and satisfied customers.

Background: the concept of postponement primarily aims at reducing uncertainty, not to say eliminate it. It is achieved by postponing processes until the required information be- comes available. Although the concept of postponement is not new, its application and connection with e-commerce companies operating on the B2C sector has gained little at- tention. Postponement is presented as having four forms: the full postponement strategy, the logistics postponement strategy, the manufacturing postponement strategy and the full speculation strategy. Although every strategy presents pros and cons, some are more ade- quate given different circumstances. Purpose: the purpose of this study is to explore (1) which factors determine whether e- commerce companies use postponement, and (2) which determinants are responsible for their strategy selection. Method: a qualitative research approach was used, with a multiple-case study as the re- search design. The empirical data was collected through in-depth semi-structured inter- views with four respondents, from four different companies. Conclusion: the authors presented a revised version of the framework they used to con- duct this research. Some determinants, present in the original framework, were removed given the authors’ findings. However, eight of the remaining determinants were kept in the revised version of the framework. The ones concerned were: the volume, the product type, the product range, the value profile, the relative delivery time, the delivery frequency, the uncertainty of demand and the economies of scale. Furthermore, the authors’ findings sug- gested a new determinant should be added to the framework, namely the number of key suppliers. With the help of the framework e-commerce companies can now evaluate their products according to the framework and decide accordingly whether they should apply postponement, and if so, which strategy suits them the best.

In today’s world economy, many companies produce where it is most cost effective to produce goods, sell where it is most profitable and source capital where it is cheaper than anywhere else, without worrying about national boundaries. However, this stage were the world has reached began three decades ago with the freeing of exchange rate, capital and interest rate controls. Additional business risks have arisen as a result of this free world and they are such that interest and exchange rates have become more variable requiring innovative financial products to help companies manage these business risks. Companies can now buy financial derivatives to help manage their exposure to variable exchange rates. As such it was the purpose of this paper to assess the effectiveness of exchange traded currency futures contracts in managing exposure to exchange rates. This was to be achieved through answering two research questions (1) how successful are exchange traded futures derivatives and (2) what is the significance of these success rates. The study established that futures contracts with maturity in three, six and nine-months have 52%, 72% and 45% success rates respectively and however only the three month success rate was confirmed by hypothesis tests.

This dissertation investigates the pricing behaviors of two major energy commodities, U.S. natural gas and crude oil, using times series models. It examines the relationships between U.S. natural gas price variations and changes in market fundamentals within a two-state Markov-switching framework. It is found that the regime-switching model does a better forecasting job in general than the linear fundamental model without regime-switching framework, especially in the case of 1-step-ahead forecast. Studies are conducted of the dynamics between crude oil price and U.S. dollar exchange rates. Empirical tests are applied to both full sample (1986—2010) and subsample (2002—2010) data. It is found that causality runs in both directions between the oil and the dollar. Meanwhile, a theoretical 5-country partial dynamic portfolio model is constructed to explain the dynamics between oil and dollar with special attention to the roles of China and Russia. It is shown that emergence of China‘s economy enhances the linkage between oil and dollar due to China's foreign exchange policy. Further research is dedicated to the role of speculation in crude oil and natural gas markets. First a literature review on theory of speculation is conducted. Empirical studies on speculation in commodity markets are surveyed, with special focus on energy commodity market. To test the theory that speculation may affect commodity prices by exaggerating the signals sent by market fundamentals, this essay utilizes the forecast errors from the first essay to investigate the forecasting ability of speculators' net long positions in the market. Limited evidence is provided to support the bubble theory in U.S. natural gas market. In conclusion, this dissertation explores both fundamentals and speculators' roles in the U.S. natural gas and global crude oil markets. It is found that market fundamentals are the major driving forces for the two energy commodities price booms seen during the past several years.

<p><strong>Abstract</strong></p><p>In fashion industry, customer demand is constantly changing. One of the main reasons is due to the time of delicate fashion awareness among the consumers, which has come into larger variety and frequent assortment changes. The changing trends in fashion industry allow researchers to get into the postponement strategy as a customized operation in order to focus on quality and flexibility. In today’s fashion market the key for success is to keep an eye on and react to the customer demand. H&M is Europe’s second largest fashion retailer in terms of sales and our work will reflect on H&M supply chain particularly. We try to figure out business strategies such as mass customization and standardization, which H&M is using in their entire supplier chain and in his different processes. Keeping this view in mind, we design our research question, which is about mass customization and standardization and we try to relate these business strategies to the postponement. We try to find out the structure and implementation of these strategies in H&M supply chain with the help of our respondent answers in our proposed questionnaire.</p><p>For this purpose, an electronic interview with the H&M senior merchandiser in Pakistan liaison office was carried out. The questionnaire contains different questions related to postponement strategy, customization, and standardization and other processes which are used in the supply chain of any fashion industry. The questionnaire consists of 22 major questions. Our research is purely qualitative. We include both types of the data; namely secondary and primary. Secondary data was collected from earlier studies of the literature and related theories of postponement, customization, and standardization and certain areas of fashion retailing, whereas primary data was collected through the electronic interview with Mr. Syed Naqeeb who is working in H&M liaison office as a senior merchandiser in Pakistan.</p><p>After receiving the questionnaire, we have tried to highlight our research questions with the help of our proposed Frame of Reference in Chapter 2. The Frame of Reference consists of theories which will help the reader to get the clear picture of fashion retailing and the related theories.</p><p>In the Analysis section, we talk about the activities of H&M and its background followed by its business concept. We define H&M SCM model and draw a figure of H&M complementarities, which we developed by the help of electronic interview. In the Conclusion part, we come to the point that customization and postponement affect fashion retailing by choosing raw material, components, and apparel accessories plus logistic management. The other aspect of our research area is standardization. After the analysis we come to know that Standardization and postponement are also used together in the supply chain of H&M, in raw material, cotton and yarn, dying, packaging and in the care instruction of labels (washing instructions).</p>

<p><strong>Master’s Thesis in Logistics and Supply Chain Management</strong></p><p><strong>_____________________________________________________</strong></p><p><strong>Title:                 Postponement in Retailing Industry- A case study of SIBA</strong></p><p><strong>Authors:         Ahmed Kemal & Naqvi Syed Mohammad</strong></p><p><strong>Tutor:               Helgi Valur Fredriksson, Dr.</strong></p><p><strong>Date:               May, 2010</strong></p><p><strong>Key Words:   Speculation, Postponement, Customer Order Decoupling point,</strong></p><p><strong> Retailing, Supply Chain Flexibility, Agility</strong></p><p><strong>______________________________________________________________</strong></p><p><strong>Abstract</strong><strong> </strong></p><p><strong>Problem: </strong>Today's business environment is characterized by changing customer demands, increasing cost pressures on retailers, shorter product life cycles and products becoming obsolete shortly after their introduction. The above factors make it difficult for electronics retailers to balance the costs of dealing with excessive inventory and not be out of stock. To be competitive, retailers should delay some of their activities until customer demand becomes visible. This brings us to the phenomenon of postponement. Electronics market in Sweden faces continuous growth, although at a declining rate. This is indicative of a saturation that this sector, as a whole, is approaching to. The above problems are due to the speculative approaches and standardized products policies that are in practice. Loss of sales and customers result from these practices. The current study analyses the importance of postponement strategy and the benefits it offers. This study also tries to explore the potential solutions for retailers that postponement may relate to.</p><p> </p><p><strong>Purpose:</strong> The scope of this study is to identify possible postponement strategies needed for SIBA.</p><p><strong>Method: </strong>A case study approach has been taken. The choice of the method is qualitative with an inductive approach. This involved personal communications during interviews with the managers of SIBA, using semi structured questions to collect data.</p><p> </p><p><strong>Results: </strong>The concepts of postponement, supply chain flexibility, agility and customer order decoupling points (CODP) are closely related to one another and it has been shown that as the depth of postponement increase from right to left in the CODP continuum, the CODP changes its position, moving along the CODP continuum from right to left and towards the upstream. With this movement, the flexibility and agility in the chain increases. Our finds suggest that postponement is rather underutilized and that wastes (by way of lost sales and customers, obsolete inventory costs and storage costs) in the retailing process occur due to speculative approaches in application at the retail level. We have suggested logistics postponement for two out of three product categories and enumerated the ensuing benefits that the retailer can derive by way of enhanced flexibility, agility and reductions in wastages and satisfied customers.</p>

In this study we analyse the role of speculation in forging cross-market linkages between agriculture, equity and crude oil over the period 1992-2014. The market interdependence of ten U.S. traded agricultural commodities futures is measured through the spillover index of Diebold and Yilmaz (2009, 2012) and the dynamic conditional correlation framework of Engle (2002). Utilising data from the U.S. Commodity Futures Trading Commission, ve dierent measures of speculation are constructed, which are used to examine the long-run and short-run dynamics between market integration and speculation. To explore time-varying characteristics in this relationship, and as a test for robustness, we perform a sub-sampling analysis for the periods 1992-2006 and 2006-2014. We show that cross-market linkages grew stronger post-2005, particularly in the aftermath of the 2008 global financial crisis. The results of our econometric analysis indicate that any conclusions regarding the role of speculation in this process are highly sensitive both to the choice of market integration measure, as well as to how the extent of speculation is captured. Overall, though, there is little to indicate that speculation has played an important role in creating cross-market linkages. We do provide some evidence of market integration increasing with market size, but other factors, such as inflation and exchange rates, seem to provide better explanations of agriculture-equity-energy price dynamics. In line with previous research, we also find market interdependence to increase with stock market uncertainty, which suggests that the diversification benefits of commodity futures investments are actually reduced when needed the most. Considered together with our findings on the sizes of markets, which are increasingly made up of speculators, it appears at least possible that financialisation has made food markets more vulnerable to disturbances in financial markets.

Checkpointing support allows program execution to roll-back to an earlier program point, discarding any modifications made since that point. Existing software-based checkpointing methods are mainly libraries that snapshot all of working-memory, and hence have prohibitive overhead for many potential applications. In this thesis we present a light-weight, fine-grain checkpointing framework implemented entirely in software through compiler transformations and optimizations. A programmer can specify arbitrary checkpoint regions via a simple API, and the compiler automatically transforms the code to implement the checkpoint at the granularity of individual stores, optimizing to remove redundancy. We explore three application areas for this support. First, we investigate its application to debugging, in particular by providing the ability to rewind to an arbitrarily-placed point in a buggy program’s execution. A study using BugBench applications shows that our compiler-based approach is more than 100X less overhead than full-process checkpointing. Second, we demonstrate that compiler-based checkpointing support can be leveraged to free the programmer from manually implementing and maintaining software rollback mechanisms when coding a backtracking algorithm, with runtime overhead of only 15% compared to the manual implementation. Finally, we utilize the efficient software-only checkpointing to support overlapping execution with delinquent loads through the demonstrations both control-speculation and data-speculation transformations. We further propose a theoretical speculative timing model and confirm its prediction effectiveness with real-machine workload.

Checkpointing support allows program execution to roll-back to an earlier program point, discarding any modifications made since that point. Existing software-based checkpointing methods are mainly libraries that snapshot all of working-memory, and hence have prohibitive overhead for many potential applications. In this thesis we present a light-weight, fine-grain checkpointing framework implemented entirely in software through compiler transformations and optimizations. A programmer can specify arbitrary checkpoint regions via a simple API, and the compiler automatically transforms the code to implement the checkpoint at the granularity of individual stores, optimizing to remove redundancy. We explore three application areas for this support. First, we investigate its application to debugging, in particular by providing the ability to rewind to an arbitrarily-placed point in a buggy program’s execution. A study using BugBench applications shows that our compiler-based approach is more than 100X less overhead than full-process checkpointing. Second, we demonstrate that compiler-based checkpointing support can be leveraged to free the programmer from manually implementing and maintaining software rollback mechanisms when coding a backtracking algorithm, with runtime overhead of only 15% compared to the manual implementation. Finally, we utilize the efficient software-only checkpointing to support overlapping execution with delinquent loads through the demonstrations both control-speculation and data-speculation transformations. We further propose a theoretical speculative timing model and confirm its prediction effectiveness with real-machine workload.