• Title/Summary/Keyword: Autonomous Portfolio

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Conceptual Research on a Display System for Autonomous Navigation Assistance Service (자율운항지원 서비스 전시시스템 개념 연구)

  • Moo-Woong Jeong;Il-Sik Shin
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2022.06a
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    • pp.447-448
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    • 2022
  • Studies on autonomous ships has received a lot of attention, recently. However, a study on autonomous navigation assistance service for Navigation Assistance Service(NAS) which is second item of Maritime Service Portfolio(MSP) suggested by IMO was not studied. Therefore, in this paper, we derive information items for autonomous navigation assistance service and research on a display system for displaying the items.

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A Study on the Portfolio Performance Evaluation using Actor-Critic Reinforcement Learning Algorithms (액터-크리틱 모형기반 포트폴리오 연구)

  • Lee, Woo Sik
    • Journal of the Korean Society of Industry Convergence
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    • v.25 no.3
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    • pp.467-476
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    • 2022
  • The Bank of Korea raised the benchmark interest rate by a quarter percentage point to 1.75 percent per year, and analysts predict that South Korea's policy rate will reach 2.00 percent by the end of calendar year 2022. Furthermore, because market volatility has been significantly increased by a variety of factors, including rising rates, inflation, and market volatility, many investors have struggled to meet their financial objectives or deliver returns. Banks and financial institutions are attempting to provide Robo-Advisors to manage client portfolios without human intervention in this situation. In this regard, determining the best hyper-parameter combination is becoming increasingly important. This study compares some activation functions of the Deep Deterministic Policy Gradient(DDPG) and Twin-delayed Deep Deterministic Policy Gradient (TD3) Algorithms to choose a sequence of actions that maximizes long-term reward. The DDPG and TD3 outperformed its benchmark index, according to the results. One reason for this is that we need to understand the action probabilities in order to choose an action and receive a reward, which we then compare to the state value to determine an advantage. As interest in machine learning has grown and research into deep reinforcement learning has become more active, finding an optimal hyper-parameter combination for DDPG and TD3 has become increasingly important.

Special Surcharge on Deposits, Reaction of Financial Institutions, and Household Burden Structure (금융기관의 반응 및 가계자산 포트폴리오를 고려한 특별예금보험료의 가계 손실분담구조)

  • Kang, Dongsoo;Sung, Taeyoon
    • KDI Journal of Economic Policy
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    • v.25 no.1
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    • pp.3-54
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    • 2003
  • This paper studies the effects of the special surcharge on deposits, proposed as a plan to finance the costs of restructuring Korean corporate and financial sectors. Specifically, the study analyzes the change in the autonomous behavior of economic agents in terms of cost transfer and substitution effects. Given the result that the growth rate of deposits does not respond to the change of interest rates so much as that of loans, financial institutions have more incentive to transfer the costs incurred by the special surcharge to depositors. This paper also reports that the portfolio of households show a noteworthy feature that insured deposits have a relatively small portion in terms of total assets for high-asset class households, whereas most assets for low-asset class households are subject to the special surcharge.

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