University of the Thai Chamber of Commerce

About: University of the Thai Chamber of Commerce is a education organization based out in Bangkok, Thailand. It is known for research contribution in the topics: Corporate social responsibility & General equilibrium theory. The organization has 223 authors who have published 422 publications receiving 5380 citations.

Applying prototype for software engineering in pilot project of research tracking system

Abstract: The prototyping is the efficient method from many methodologies of software engineering approaches. The traditional waterfall model is suitable for the well understanding requirement and large project. The pilot project of research tracking system had never been established before in University of the Thai Chamber of Commerce (UTCC). The staffs in the research department manually manage the research tracking system of researchers funding by UTCC which are approximately 20–30 projects a year. The prototyping methodology was chosen to apply to this work. The paper describes how the prototyping was created according to the theory compare to the real case scenario situation. The pros and cons of prototyping techniques are addressed in the paper. The recommendations and the observations from the practices were also taken into the consideration in this work.

Reverse shortest path for dataflow optimization of hierarchically structure data networks

Abstract: In the routing process to select the data paths for Hierarchically Aggregation/Disaggregation and Composition/Decomposition, (HAD) networks, a fast algorithm for finding optimum paths for dataflow is needed. In this research we propose an algorithm called the Reverse Shortest Path algorithm to improve the speed in the calculating procedure for finding the shortest paths. This algorithm performs the reversed calculation in stead of the forward calculation used in conventional algorithms. The demand in each original destination pair (OD pair) has been distributed to the sub OD pairs in each relevant subnetwork r(u,v) = r(u,l) = ... = r(l,k) = r(k,v) with l and k, the gateways and ancestors in the active path. For each different commodities, the parallel processing is carried out with the shared shortest path processing time of O(log(n)) which less than O(mlog(n)) of HAD algorithm[1] where, n is the number of nodes in the networks, M is the number of commodities in each cluster and m is a positive integer which is less than M. The proposed algorithms have been developed and tested on a simulated network of 200 nodes clustered into 20 groups. Each group uses a personal computer as the processor for the group. Ten data Monte Carlo simulation patterns were generated for the test. The first five patterns represent typical normal dataflows which largely consist of short distance communications. The other five patterns represent the worst case data communication scenario. Test results on the proposed Reverse Shortest Path algorithm show that, for the tested network, the algorithm has improves the speed in finding the shortest paths by 20% as compared to the conventional shortest path algorithm.

Idiosyncratic Volatility and Expected Stock Returns: Evidence from Thailand

Abstract: 0 0 1 156 890 7 2 1044 14.0 Normal 0 false false false EN-US JA X-NONE This paper demonstrates the finding that time-varying expected idiosyncratic volatility has a significant and positive effect on expected stock returns for individual stocks as well as stock sectors. The positive relation remains after controlling for liquidity variables. The second finding is that time-varying expected market volatility has a significanteffect on expected stock returns for both individual stocks and stock sectors, which is consistent with the traditional capital asset pricing model. Although the models control for liquidity variables, the significantly positive relation still exists. In addition, expected idiosyncratic volatility plays a more important role than expected market volatility in determining expected stock returns in the case of individual stocks. In contrast, expected market volatility plays a more important role than expected idiosyncratic volatility in the case of stock sectors. Keywords : idiosyncratic volatility, market volatility, liquidity, expected stock return JEL Classification : C33, G12

An Appraisal Model of Real Estate in Thailand Using Fuzzy Lattice Reasoning

Abstract: This paper presents an appraisal model of real estate in Thailand using fuzzy logic which is a method for a capable of solving any value in blank land submarkets relative to clustering methods based on classic (or crisp) set theory. The valuer shall record the inspection result regarding condition and location of such land. Systematic analysis shall be applied and the fact of the land’s condition will also be recorded. Generally, such valuation data will be taken to compare with other comparable data and then classified by the valuer according to its significance, namely, A, B, C and D. This classification criteria is still not clear, especially weighted-factor of such property (Effective Factor of Property). Therefore, this problem has drawn attention from the researcher to explore the causes of such problem and at the same time propose models for clustering using fuzzy as a tool for classifying the components of the property (Effective Factor of Property) in order to determine upon such vagueness regarding weighted-factor. Issues of choosing algorithm parameters are discussed on the basis of applying fuzzy clustering to 101 metropolitan areas in the Thailand. The result from the experiment shows that the components of the property are weighed more appropriately and closely to the real value which can give the percentage of reliance to be at approximately 97 %. This enables the valuer to determine and make a comment on property value that its evaluated value becomes closer to the real one to the greatest extent.

Blockchain application for central bank digital currencies (CBDC)

Abstract: Central Bank Digital Currency (CBDC) is a digital version of domestic currency with a unit of account equivalent to its domestic currency. Blockchain or Distributed Ledger technology (DLT) can be used to implement CBDC to execute and settle peer-to-peer transactions. With the emergence of private money, such as cryptocurrencies and stablecoins, and the growing use of digital payments to lessen the global pandemic spread, CBDC is an active research area among central banks worldwide. Many central banks started their CBDC projects by building DLT proofs of concept (PoCs) to replicate wholesale payment systems and expand their investigation into other use cases, such as delivery versus Payment (DvP) and cross-border remittance. Many large economies like the United States have projects exploring CBDC. The People's Bank of China (PBoC), China Central Bank, has already started a pilot testing of their digital retail currency. This paper discusses the application of blockchain for CBDC by presenting CBDC projects by central banks. Moreover, this paper analyses issues, identify challenges and discusses future works in this rapidly evolving field.