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Results for “Korea” · papers 15 · wiki 1
Academic Papers · 15arXiv q-fin live 9 · desk corpus 9
arXiv · arXiv q-fin · 2020

Trading characteristics of member firms on the Korea Exchange

In this paper, we study the characteristics of the member firms on the Korea Exchange. The member firms intermediate between the market participants and the exchange, and all the participants should trade stocks through members. To identify the characteristics of member firms, all member firms are categorized into three groups, such as the domestic members similar to individuals (DIMs), the domestic members similar t

Min-Young Lee, Woo-Sung Jung, Gabjin Oh
arXiv · arXiv q-fin · 2005

Grouping in the stock markets of Japan and Korea

We investigated the temporally evolving network structures of the Japanese and Korean stock markets through the minimum spanning trees composed of listed stocks. We tested the validity of conventional grouping by industrial categories, and found a common trend of decrease for Japan and Korea. This phenomenon supports the increasing external effects on the markets due to the globalization of both countries. At last th

Woo-Sung Jung, Okyu Kwon, Taisei Kaizoji, Seungbyung Chae, Hie-Tae Moon
arXiv · arXiv · 2023

Information Content of Financial Youtube Channel: Case Study of 3PROTV and Korean Stock Market

We investigate the information content of 3PROTV, a south Korean financial youtube channel. In our sample we found evidence for the hypothesis that the channel have information content on stock selection, but only on negative sentiment. Positively mentioned stock had pre-announcement spike followed by steep fall in stock price around announcement period. Negatively mentioned stock started underperforming around the a

HyeonJun Kim
arXiv · arXiv · 2025

TWICE: What Advantages Can Low-Resource Domain-Specific Embedding Model Bring? -- A Case Study on Korea Financial Texts

Domain specificity of embedding models is critical for effective performance. However, existing benchmarks, such as FinMTEB, are primarily designed for high-resource languages, leaving low-resource settings, such as Korean, under-explored. Directly translating established English benchmarks often fails to capture the linguistic and cultural nuances present in low-resource domains. In this paper, titled TWICE: What Ad

Yewon Hwang, Sungbum Jung, Hanwool Lee, Sara Yu
arXiv · arXiv q-fin · 2026

Portfolio Preference Elicitation in Institutional Crossing Markets

Institutional crossing platforms face a hidden-information problem: investors value trades as portfolios, but liquidity discovery is typically organized around individual securities. We model portfolio crossing as limited-communication preference elicitation over signed portfolio trades. The platform first uses price-directed demand queries to search the portfolio space and then verifies selected packages through val

Yoontae Hwang
arXiv · arXiv q-fin · 2025

Sources and Nonlinearity of High Volume Return Premium: An Empirical Study on the Differential Effects of Investor Identity versus Trading Intensity (2020-2024)

Chae and Kang (2019, \textit{Pacific-Basin Finance Journal}) documented a puzzling Low Volume Return Premium (LVRP) in Korea -- contradicting global High Volume Return Premium (HVRP) evidence. We resolve this puzzle. Using Korean market data (2020-2024), we demonstrate that HVRP exists in Korea but is masked by (1) pooling heterogeneous investor types and (2) using inappropriate intensity normalization. When institut

Sungwoo Kang
arXiv · arXiv · 2009

The Effects of Market Properties on Portfolio Diversification in the Korean and Japanese Stock Markets

In this study, we have investigated empirically the effects of market properties on the degree of diversification of investment weights among stocks in a portfolio. The weights of stocks within a portfolio were determined on the basis of Markowitz's portfolio theory. We identified that there was a negative relationship between the influence of market properties and the degree of diversification of the weights among s

Cheoljun Eom, Jongwon Park, Woo-Sung Jung, Taisei Kaizoji, Yong H. Kim
arXiv · arXiv q-fin · 2024

Analysis of market efficiency in main stock markets: using Karman-Filter as an approach

In this study, we utilize the Kalman-Filter analysis to assess market efficiency in major stock markets. The Kalman-Filter operates in two stages, assuming that the data contains a consistent trendline representing the true market value prior to being affected by noise. Unlike traditional methods, it can forecast stock price movements effectively. Our findings reveal significant portfolio returns in emerging markets

Beier Liu, Haiyun Zhu
arXiv · arXiv q-fin · 2022

Index Tracking via Learning to Predict Market Sensitivities

Index funds are substantially preferred by investors nowadays, and market sensitivities are instrumental in managing index funds. An index fund is a mutual fund aiming to track the returns of a predefined market index (e.g., the S&P 500). A basic strategy to manage an index fund is replicating the index's constituents and weights identically, which is, however, cost-ineffective and impractical. To address this issue,

Yoonsik Hong, Yanghoon Kim, Jeonghun Kim, Yongmin Choi
arXiv · arXiv q-fin · 2019

Multimodal Deep Learning for Finance: Integrating and Forecasting International Stock Markets

In today's increasingly international economy, return and volatility spillover effects across international equity markets are major macroeconomic drivers of stock dynamics. Thus, information regarding foreign markets is one of the most important factors in forecasting domestic stock prices. However, the cross-correlation between domestic and foreign markets is highly complex. Hence, it is extremely difficult to expl

Sang Il Lee, Seong Joon Yoo
arXiv · arXiv · 2025

Optimal Signal Extraction from Order Flow: A Matched Filter Perspective on Normalization and Market Microstructure

We establish a general matched filter principle for order flow normalization: optimal normalization must match the scaling behaviour of the signal-generating process. For capacity-constrained institutional investors, market capitalization normalization ($S^{MC}$) is the matched filter; for volume-targeting traders (e.g., VWAP/TWAP algorithms), trading value normalization ($S^{TV}$) is optimal. Monte Carlo simulations

Sungwoo Kang
arXiv · arXiv · 2026

The Loop-Gain Matrix: Coupled Rebalancing Feedback and the Blind Spots of Scalar Stability Monitoring

The stability of markets hosting leveraged exchange-traded products is governed not by any single product's loop gain but by the spectral radius of a loop-gain matrix, and scalar per-product monitoring underestimates system feedback by construction. Recent work measures the self-reinforcement of a leveraged fund's daily close rebalancing through a scalar loop gain and treats cross-asset spillovers as bias. We model c

Jihwan Woo
arXiv · arXiv · 2024

IVE: Enhanced Probabilistic Forecasting of Intraday Volume Ratio with Transformers

This paper presents a new approach to volume ratio prediction in financial markets, specifically targeting the execution of Volume-Weighted Average Price (VWAP) strategies. Recognizing the importance of accurate volume profile forecasting, our research leverages the Transformer architecture to predict intraday volume ratio at a one-minute scale. We diverge from prior models that use log-transformed volume or turnover

Hanwool Lee, Heehwan Park
arXiv · arXiv q-fin · 2024

DiffSTOCK: Probabilistic relational Stock Market Predictions using Diffusion Models

In this work, we propose an approach to generalize denoising diffusion probabilistic models for stock market predictions and portfolio management. Present works have demonstrated the efficacy of modeling interstock relations for market time-series forecasting and utilized Graph-based learning models for value prediction and portfolio management. Though convincing, these deterministic approaches still fall short of ha

Divyanshu Daiya, Monika Yadav, Harshit Singh Rao
arXiv · arXiv q-fin · 2009

The Spread of the Credit Crisis: View from a Stock Correlation Network

The credit crisis roiling the world's financial markets will likely take years and entire careers to fully understand and analyze. A short empirical investigation of the current trends, however, demonstrates that the losses in certain markets, in this case the US equity markets, follow a cascade or epidemic flow like model along the correlations of various stocks. This phenomenon will be shown by the graphical displa

Reginald D. Smith
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