{"id":7808,"date":"2021-12-30T10:25:48","date_gmt":"2021-12-30T02:25:48","guid":{"rendered":"https:\/\/www.tejwin.com\/%e9%a6%96%e9%a0%81\/"},"modified":"2023-07-26T16:19:37","modified_gmt":"2023-07-26T08:19:37","slug":"%e9%a6%96%e9%a0%81","status":"publish","type":"page","link":"https:\/\/www.tejwin.com\/en\/","title":{"rendered":"Home"},"content":{"rendered":"\t\t
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Professional Consulting Services<\/div>\n

The Most Comprehensive Taiwan Market Data Analysis for Investors<\/h1>\n

Unlock deep insights from Taiwan market with TEJ's quantitative-ready datasets\u2014covering market data, financial, fundamental, event-driven, ESG metrics, credit risk, and trading strategies.\r\n<\/p>\n Contact us<\/a>\n <\/div>\n

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\n \"TEJ\n <\/div>\n <\/div>\n <\/div>\n \n <\/div>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Product Service<\/h2>\n
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\n \"TESG\n <\/div>\n
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\n Factor Library\n <\/h3>\n
\n Provides Taiwan-focused factor data for quantitative research and strategy development.\n <\/div>\n <\/div>\n
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\n \"TQuant\n <\/div>\n
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\n TEJ Quantitative Investment Database\n <\/h3>\n
\n Powers point-in-time, model-ready datasets tailored for Taiwan's market\u2014supporting robust quantitative strategy development.\n <\/div>\n <\/div>\n
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\n TCRI Watch Dog\n <\/h3>\n
\n Quickly grasp the most significant events and information, and provide exclusive perspectives from TCRI to facilitate credit risk management and decision-making.\n <\/div>\n <\/div>\n
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\n Quantitative Finance Solution\n <\/h2>\n

\n Efficiently develop investment strategies and conduct prompt performance analysis.\n <\/h3>\n <\/div>\n
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Quantitative analysis requires comprehensive financial data to model investment strategies accurately.<\/p>\n

TEJ Quantitative Finance Solution offers real-time access to precise data, reducing bias and improving investment strategies by utilizing point-in-time data.<\/p>\n\n <\/div>\n

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Insights<\/h2>\n
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2026\/04\/15<\/div>\n

How Information Sources Shift Stock Prices: Empirical Evidence from TCRI Watchdog<\/h3>\n <\/div>\n
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TCRI Watchdog (WD) converts complex news and announcements into standardized quantitative alternative data. Building on our research into \"Official Announcements (Source P)\" and \"Media News (Source N),\" we have confirmed that disclosure channels directly dictate the speed and structure of market digestion.\n\nThis chapter moves from macro \"Event Categories\" to micro \"Source \u00d7 Sub-category\" dimensions to capture actionable Alpha within granular events. Focusing on high-sensitivity \"Corporate Control Events,\" we analyze the signal heterogeneity between Source P and Source N. We further demonstrate how these high-precision signals assist investors in optimizing entry timing and hedging strategies.<\/div>\n
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2026\/01\/16<\/div>\n

From News to Markets: Investment Signals from Media Coverage (Part II) \u2014 An Empirical Analysis of TCRI Watchdog \u201cN News Media\u201d Events<\/h3>\n <\/div>\n
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While Part I establishes that news events generate identifiable market reactions, the informational content of news varies widely\u2014from industry developments and financial disclosures to management changes and corporate crises. Event intensity alone is insufficient to explain these differences. Accordingly, this section decomposes news events into five categories (A, I, M, F, R) and examines whether markets respond systematically differently across news types.<\/div>\n
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2026\/01\/16<\/div>\n

From News to Markets: Investment Signals from Media Coverage (Part I) \u2014 An Empirical Analysis of TCRI Watchdog \u201cN News Media\u201d Events<\/h3>\n <\/div>\n
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Introduction: News as an Event-Based Market Signal In today\u2019s highly real-time and information-saturated markets, news media no longer merely serve as post-hoc explanations of price movements. Instead, they have become a critical channel through which market expectations are formed and sentiment spreads. Compared with structured disclosures such as regulatory penalties or official disclosures via the […]<\/div>\n
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2025\/12\/19<\/div>\n

Burton G. Malkiel\u2019s Rules for Successful Stock Selection<\/h3>\n <\/div>\n
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Burton G. Malkiel\u00a0is the Chemical Bank Chairman\u2019s Professor of Economics at\u00a0Princeton University. He previously worked in the investment banking division of\u00a0Smith Barney & Co.\u00a0and has served as a director of several large investment institutions, including\u00a0The Vanguard Group\u00a0and\u00a0The Prudential Insurance Company of America. He was also appointed as a member of the\u00a0U.S. President\u2019s Council of Economic Advisers. In both academic and investment circles, he is a highly respected and influential figure.<\/div>\n
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2025\/12\/08<\/div>\n

Factor Strategy \u2013 Applying SIR to Strengthen Momentum Strategies in the Taiwan Market \u2013 SIR Part 2<\/h3>\n <\/div>\n
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This study examines whether incorporating the Short Interest Ratio (SIR) can improve the performance of a 52-week high momentum strategy in Taiwan. By comparing a baseline momentum model with two SIR-enhanced versions\u2014one using SIR as a filter and another integrating it into a composite score\u2014we find consistent gains in returns, lower volatility, and reduced drawdowns. The results show that SIR strengthens momentum strategies by identifying stocks under institutional short-selling pressure.<\/div>\n
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Factor Research \u2013 The SIR Short-Selling Factor: Extracting Negative Signals from Institutional Borrowing Activity \u2013 SIR Part 1<\/h3>\n <\/div>\n
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Taiwan\u2019s short-selling signals are often misleading because the market operates under a dual-track system: retail investors short stocks through margin accounts, while institutional investors use securities borrowing and lending (SBL). Only SBL-based short selling reflects informed institutional sentiment, while margin shorting introduces noise. This study isolates SBL to construct the Short Interest Ratio (SIR) and evaluates its ability to predict cross-sectional returns and reveal size-dependent patterns in informed short-selling behavior.<\/div>\n
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2025\/12\/04<\/div>\n

Three Major Institutional Investors’ Position-Based Trading Strategy for TAIEX Futures<\/h3>\n <\/div>\n
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This strategy is based on tracking the flow of so-called \"smart money\" in the market, referring to the positions of the three major institutional investors in Taiwan: foreign investors, investment trusts, and proprietary traders. The strategy assumes that when these three institutions hold a strong and consistent view of the market direction, following their lead has a higher probability of success.<\/div>\n
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2025\/11\/21<\/div>\n

ETF Premium-Discount Arbitrage: Market Maker vs. Retail Performance<\/h3>\n <\/div>\n
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Market makers, equipped with high-frequency trading capabilities, institutional-grade cost structures, and real-time creation\/redemption privileges, are the primary participants in ETF premium\u2013discount arbitrage. In contrast, Non-Institutional Participants face multiple constraints\u2014including information latency and higher transaction frictions\u2014which make it difficult to capture arbitrage opportunities promptly or profitably.\u00a0<\/div>\n
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TCRI Watchdog Part2\uff1aHow Different Types of Corporate Events Shape Market Reactions<\/h3>\n <\/div>\n
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TCRI Watchdog classifies all events into 5 major categories: Accounting, Industry Prospects, Management & Governance, Market Transactions, and Crisis Events. We analyze how each category affects stock prices, compare their reaction magnitudes and persistence, and highlight which types of information serve as the most important early-warning signals for investors.<\/div>\n
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How Major Announcements Drive Stock Price Volatility\uff1aEvent Study of the TCRI Watchdog “P” Type Event\uff0dPart 1<\/h3>\n <\/div>\n
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Discover how TCRI Watchdog quantifies material announcements and reveals the asymmetric market impact of event intensity. Learn why negative events drive deeper, longer price reactions and how investors can use event-based signals to enhance risk monitoring and strategy design.\nWe find that higher-ranked portfolios deliver significant short-term excess returns, while predictive power weakens over longer horizons. The results highlight the practical value of Point-in-Time financial data for quantitative factor investing and underscore its role in building replicable, data-driven investment strategies.<\/div>\n
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Beyond the Surface: TEJ Unveils Structured Transcript Insights and Alpha Signals at Neudata Hong Kong Data Summit<\/h3>\n
Discover TEJ\u2019s highlights from Neudata Hong Kong Data Summit. Explore our structured Earnings Call Transcripts, 11 categories of PIT Factor Library, and high-fidelity Market Data for Asia.<\/div>\n
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Highlighting Taiwan\u2019s Data Advantage: TEJ Joins the Neudata NY Data Summit<\/h3>\n
Great connecting with the global quant and data community at the Neudata Data Summit in New York!\nWe enjoyed sharing how TEJ\u2019s Point-in-Time Financials, alternative data for sentiment signals, and our Factor Library for the Taiwan market are helping investors build stronger models and uncover new insights.<\/div>\n
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TEJ Presents\u00a0the Latest Developments in Geographic Data Applications for Corporate Risk Analysis at the 2025 NTU Accounting Annual Conference!\u00a0<\/h3>\n
In November, TEJ was invited to speak at the \u201c2025 Annual Conference of the Chinese Accounting Association in Taiwan,\u201d co-hosted by the Chinese Accounting Education Association and National Taiwan University\u2019s Department of Accounting. During the applied research session, TEJ explored the evolving landscape of ESG research\u2014moving beyond traditional ESG disclosures toward the use of spatial data to quantify companies\u2019 exposure to natural and physical risks. The presentation centered on global ESG research developments and the application of Taiwan\u2019s unique datasets, underscoring TEJ\u2019s pivotal role in this field.<\/div>\n
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TEJ ranks No. 1 in Taiwan\u2019s 2025 Patent Analysis Competition, highlighting our industry and corporate analysis expertise.<\/h3>\n
Taiwan Economic Journal (TEJ) secured the top prize among 70 teams in the 2025 Industrial Patent Analysis and Strategy Competition, organized by the Intellectual Property Office of the Ministry of Economic Affairs, Taiwan. As a locally rooted team with comprehensive insight into Taiwan\u2019s industries and corporate landscape, TEJ demonstrated an unmatched ability to turn patent intelligence into meaningful strategic analysis. For organizations seeking true experts in Taiwan\u2019s financial and industry data, TEJ remains the trusted leader.<\/div>\n
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2025 H2 TCRI Online Webinar \u2013 Supply Chains in a Fragmented World<\/h3>\n
In Aug 2025, TEJ\u2019s TCRI Webinar reviewed semiconductors, shipping, construction, and manufacturing, outlining key risks and opportunities amid global uncertainty.<\/div>\n
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TEJ 2025 ESG Seminar: Driving ESG Disclosure and Risk Management in Taiwan\u2019s Financial Sector<\/h3>\n
On July 4, 2025, TEJ had hosted the 2025 ESG Seminar in Taipei, themed \u201cTurning ESG Principles into Action.\u201d The event had focused on IFRS S2 and TNFD, showing how Taiwan\u2019s financial sector had addressed disclosure challenges with data-driven ESG solutions for compliance, investment, and risk management.<\/div>\n
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Taiwan Factor Library Intelligence Shines at Neudata Hong Kong | Powered by TEJ<\/h3>\n
TEJ showcases its Factor Library and Earnings Call Transcripts at Neudata Hong Kong 2025, highlighting Taiwan-focused quant data for institutional strategies.\n\n\n<\/div>\n
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Taiwan Market Data: TEJ Showcases Insights at Neudata London Summit 2025<\/h3>\n
Discover how TEJ's Taiwan Market Data captivated global investors at the Neudata London Summit 2025, offering unique insights into Asia's financial landscape.\n\n<\/div>\n
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\u200bTEJ 2025 Industry Outlook Seminar: Navigating Global Challenges with AI as a Key Driver\u200b<\/h3>\n
On March 28, 2025, Taiwan Economic Journal (TEJ) hosted the \"TCRI 2025 Industry Outlook Seminar,\" providing an in-depth analysis of the complex global economic landscape and its impact on Taiwanese industries. The seminar emphasized the burgeoning potential of AI technologies and covered international political and economic developments, challenges faced by traditional industries, and strategies for the electronics sector amidst trade wars and technological competition.\u200b<\/div>\n
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2024 Taiwan Accounting Association Annual Conference<\/h3>\n
Based on its robust connection to academic research and databases, TEJ actively engages in academic conferences on finance and accounting, fostering collaboration with scholars and sharing practical insights.<\/div>\n
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Events<\/h2>\r\n
The latest TEJ lecture and seminar information.<\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n\r\n