Zhodnocení finanční pozice vybrané společnosti

Financial analysis should be based on value, and the range of value is very wide. Value is based on the business. The foothold is the good and bad of the business, to judge whether the current business development is good or bad, and how to maintain or improve it in the future. The results of the analysis can make investors know more clearly whether this company is worth investing in. The goal of the thesis is to analyze and evaluate Evergrande Group's financial performance, based on data from Evergrande Group's financial statements from 2014 to 2018. This thesis is divided into five chapters. The first and the last chapter is introduction and conclusion of the thesis. The second chapter is devoted to financial analysis methodology, we will describe meaning and goal of financial analysis and financial statement as a basic tool for analysis. The third chapter includes the overview of Evergrande Group, social responsibility of Evergrande Group and Evergrande Group's main competitors. In the fourth chapter we will calculate and analyze the results of financial analysis.Financial analysis should be based on value, and the range of value is very wide. Value is based on the business. The foothold is the good and bad of the business, to judge whether the current business development is good or bad, and how to maintain or improve it in the future. The results of the analysis can make investors know more clearly whether this company is worth investing in. The goal of the thesis is to analyze and evaluate Evergrande Group's financial performance, based on data from Evergrande Group's financial statements from 2014 to 2018. This thesis is divided into five chapters. The first and the last chapter is introduction and conclusion of the thesis. The second chapter is devoted to financial analysis methodology, we will describe meaning and goal of financial analysis and financial statement as a basic tool for analysis. The third chapter includes the overview of Evergrande Group, social responsibility of Evergrande Group and Evergrande Group's main competitors. In the fourth chapter we will calculate and analyze the results of financial analysis.154 - Katedra financívelmi dobř

Analýza EaR aplikací metodologie CorporateMetrics

The main goal is to use the CorporateMetrics methodology to predict the Sinopec's operating profit in 2021 under market risk. This thesis includes five chapters. The first chapter is a general introduction to the thesis. The second chapter deals with a theoretical description. The third chapter focuses on Sinopec. The fourth chapter applies the CorporateMetrics methodology to the analysis of the selected company. The fifth chapter is a conclusion of the whole thesis. In chapter 2, the theoretical introduction to CorporateMetrics is divided into three main parts. These are definition of CorporateMetrics, framework components and the comparison to other risk management tools. The framework components include the metric specification, the exposure mapping, the scenario generation, valuation and the risk computation. In chapter 3, the Sinopec will be introduced in more detail. It will start with a general introduction to Sinopec, followed by the history of the company. A brief overview of Sinopec's main competitors will also be presented and compared. Finally, a SWOT analysis of Sinopec will be presented. In chapter 4, the part of CorporateMetrics that will be used to measure risk, mainly using the Earning-at-Risk analysis. The 1000 scenarios of crude oil prices and market rates will be modelled. Then, the parameters that will be used to calculate the operating profit will then be calculated. Finally, a valuation of the operating profit can be obtained. The results are expressed as frequency and probability distributions and are also presented graphicallyThe main goal is to use the CorporateMetrics methodology to predict the Sinopec's operating profit in 2021 under market risk. This thesis includes five chapters. The first chapter is a general introduction to the thesis. The second chapter deals with a theoretical description. The third chapter focuses on Sinopec. The fourth chapter applies the CorporateMetrics methodology to the analysis of the selected company. The fifth chapter is a conclusion of the whole thesis. In chapter 2, the theoretical introduction to CorporateMetrics is divided into three main parts. These are definition of CorporateMetrics, framework components and the comparison to other risk management tools. The framework components include the metric specification, the exposure mapping, the scenario generation, valuation and the risk computation. In chapter 3, the Sinopec will be introduced in more detail. It will start with a general introduction to Sinopec, followed by the history of the company. A brief overview of Sinopec's main competitors will also be presented and compared. Finally, a SWOT analysis of Sinopec will be presented. In chapter 4, the part of CorporateMetrics that will be used to measure risk, mainly using the Earning-at-Risk analysis. The 1000 scenarios of crude oil prices and market rates will be modelled. Then, the parameters that will be used to calculate the operating profit will then be calculated. Finally, a valuation of the operating profit can be obtained. The results are expressed as frequency and probability distributions and are also presented graphically154 - Katedra financídobř

Rethinking Medical Report Generation: Disease Revealing Enhancement with Knowledge Graph

Knowledge Graph (KG) plays a crucial role in Medical Report Generation (MRG) because it reveals the relations among diseases and thus can be utilized to guide the generation process. However, constructing a comprehensive KG is labor-intensive and its applications on the MRG process are under-explored. In this study, we establish a complete KG on chest X-ray imaging that includes 137 types of diseases and abnormalities. Based on this KG, we find that the current MRG data sets exhibit a long-tailed problem in disease distribution. To mitigate this problem, we introduce a novel augmentation strategy that enhances the representation of disease types in the tail-end of the distribution. We further design a two-stage MRG approach, where a classifier is first trained to detect whether the input images exhibit any abnormalities. The classified images are then independently fed into two transformer-based generators, namely, ``disease-specific generator" and ``disease-free generator" to generate the corresponding reports. To enhance the clinical evaluation of whether the generated reports correctly describe the diseases appearing in the input image, we propose diverse sensitivity (DS), a new metric that checks whether generated diseases match ground truth and measures the diversity of all generated diseases. Results show that the proposed two-stage generation framework and augmentation strategies improve DS by a considerable margin, indicating a notable reduction in the long-tailed problem associated with under-represented diseases

Research on the Status Quo and Satisfaction of ' Internet + ' Home Care Model in Hangzhou in the Post-Epidemic Era

This paper takes Hangzhou as an example to study the current situation of the "Internet +" home care model in Hangzhou in the post-epidemic era and the satisfaction of citizens with this new pension model. We established a structural equation model of citizens' satisfaction with the "Internet +" home care model, and calculated the satisfaction index by combining the CSI satisfaction index

RandChain: A Scalable and Fair Decentralised Randomness Beacon

We propose RANDCHAIN, a Decentralised Randomness Beacon (DRB) that is the first to achieve both scalability (i.e., a large number of participants can join) and fairness (i.e., each participant controls comparable power on deciding random outputs). Unlike existing DRBs where participants are collaborative, i.e., aggregating their local entropy into a single output, participants in RANDCHAIN are competitive, i.e., competing with each other to generate the next output. The competitive design reduces the communication complexity from at least O(n2) to O(n) without trusted party, breaking the scalability limit in existing DRBs. To build RANDCHAIN, we introduce Sequential Proof-of-Work (SeqPoW), a cryptographic puzzle that takes a random and unpredictable number of sequential steps to solve. We implement RANDCHAIN and evaluate its performance on up to 1024 nodes, demonstrating its superiority (1.3 seconds per output with a constant bandwidth of 200KB/s per node) compared to state-of-the-art DRBs RandHerd (S&P’18) and HydRand (S&P’20)

On the optionality and fairness of Atomic Swaps

Atomic Swap enables two parties to atomically exchange their own cryptocurrencies without trusted third parties. This paper provides the first quantitative analysis on the fairness of the Atomic Swap protocol, and proposes the first fair Atomic Swap protocol with implementations. In particular, we model the Atomic Swap as the American Call Option, and prove that an Atomic Swap is equivalent to an American Call Option without the premium. Thus, the Atomic Swap is unfair to the swap participant. Then, we quantify the fairness of the Atomic Swap and compare it with that of conventional financial assets (stocks and fiat currencies). The quantification results show that the the Atomic Swap is much more unfair on cryptocurrencies than on stocks and fiat currencies in the same setting. Moreover, we use the conventional Cox-Ross-Rubinstein option pricing model in Finance to estimate the premium, and show that the estimated premium for cryptocurrencies is 2% ∼ 3% of the asset value, while the premium for stocks and fiat currencies is approximately 0.3%. Furthermore, we propose two fair Atomic Swap protocols, one is for currency exchange and the other is for American Call Options. Our protocols are based on the original Atomic Swap protocol, but implement the premium mechanism. Blockchains supporting smart contracts such as Ethereum support our protocols directly. Blockchains only supporting scripts such as Bitcoin can support our protocols by adding a simple opcode. Finally, we provide the reference implementation of our protocols in Solidity, and give detailed instructions on implementing our protocols with Bitcoin script