{"id":583,"date":"2025-11-21T16:00:00","date_gmt":"2025-11-21T16:00:00","guid":{"rendered":"https:\/\/www.tejwin.com\/en\/insights\/an-empirical-study-on-the-market-maker-and-retail-investor-performance-in-etf-premium-discount-arbitrage\/"},"modified":"2026-09-23T18:19:39","modified_gmt":"2026-09-23T18:19:39","slug":"an-empirical-study-on-the-market-maker-and-retail-investor-performance-in-etf-premium-discount-arbitrage","status":"publish","type":"insight","link":"https:\/\/www.tejwin.com\/en\/insights\/an-empirical-study-on-the-market-maker-and-retail-investor-performance-in-etf-premium-discount-arbitrage\/","title":{"rendered":"ETF Premium-Discount Arbitrage: Market Maker vs. Retail Performance"},"content":{"rendered":"<figure class=\"wp-block-image aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" alt=\"ETF\" class=\"wp-image-38079\" height=\"683\" src=\"https:\/\/www.tejwin.com\/en\/wp-content\/uploads\/2026\/08\/tingey-injury-law-firm-DZpc4UY8ZtY-unsplash-1-1024x683-1.jpg\" width=\"1024\"\/><figcaption class=\"wp-element-caption\">Photo by <a href=\"https:\/\/unsplash.com\/@tingeyinjurylawfirm?utm_content=creditCopyText&amp;utm_medium=referral&amp;utm_source=unsplash\" rel=\"noopener\" target=\"_blank\">Tingey Injury Law Firm<\/a> on <a href=\"https:\/\/unsplash.com\/photos\/woman-holding-sword-statue-during-daytime-DZpc4UY8ZtY?utm_content=creditCopyText&amp;utm_medium=referral&amp;utm_source=unsplash\" rel=\"noopener\" target=\"_blank\">Unsplash<\/a><\/figcaption><\/figure>\n<h2 class=\"wp-block-heading\">Introduction<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p class=\"wp-block-paragraph\">Market makers, equipped with high-frequency trading capabilities, institutional-grade cost structures, and real-time creation\/redemption privileges, are the primary participants in <strong><mark class=\"has-inline-color has-luminous-vivid-orange-color\" style=\"background-color:rgba(0, 0, 0, 0)\">ETF premium\u2013discount arbitrage<\/mark><\/strong>. 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<\/p>\n<p class=\"wp-block-paragraph\">Using the<strong><mark class=\"has-inline-color has-luminous-vivid-orange-color\" style=\"background-color:rgba(0, 0, 0, 0)\"> Yuanta Taiwan 50 ETF (0050)<\/mark><\/strong> as a primary case study, this research simulates the execution of premium\u2013discount arbitrage for these two distinct market participants based on historical empirical data. By comparing performance under varying entry\/exit thresholds and cost structures\u2014and evaluating metrics such as hit rates, return distributions, and drawdown risks\u2014we aim to clarify an essential question: In this seemingly \u201crisk-free arbitrage,\u201d who truly captures the opportunity and earns consistent alpha in the Taiwan market?\u00a0<\/p>\n<blockquote><p><em>\ud83d\udcca<a href=\"https:\/\/www.tejwin.com\/en\/news\/factor-library\/\">Use our Factor Library to find alpha and optimize investment strategies<\/a><\/em><\/p><\/blockquote>\n<h2 class=\"wp-block-heading\"><strong>Market Context &amp; Research Framework\u00a0<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3 class=\"wp-block-heading\">Taiwan ETF Market Characteristics\u00a0<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p class=\"wp-block-paragraph\">The empirical analysis incorporates the following structural features unique to the Taiwan capital market:\u00a0<\/p>\n<ul class=\"wp-block-list\">\n<li><strong>In-Kind Creation\/Redemption<\/strong>:\u00a0The 0050 ETF primarily\u00a0utilizes\u00a0an\u00a0in-kind\u00a0mechanism, enabling institutional participants to execute arbitrage between the primary and secondary markets using equity baskets.\u00a0<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li><strong>Settlement Cycle<\/strong>:\u00a0Transactions follow a\u00a0T+2 settlement\u00a0protocol.\u00a0<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li><strong>Preferential Tax Structure<\/strong>: The Securities Transaction Tax for ETFs is significantly incentivized at 0.1%, compared to the 0.3% levied on individual equities.\u00a0<\/li>\n<\/ul>\n<h2 class=\"wp-block-heading\"><strong>Case Subject: Yuanta Taiwan 50 ETF (0050)\u00a0<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p class=\"wp-block-paragraph\"><strong>AUM (Assets Under Management):<\/strong>\u00a0As of January 2025, the AUM stood at\u00a0approximately\u00a0<strong>NT$ 440 billion<\/strong>,\u00a0maintaining\u00a0its position as the most liquid and benchmark-representative ETF in Taiwan.\u00a0<\/p>\n<p class=\"wp-block-paragraph\"><strong>Underlying Index:<\/strong>\u00a0TSEC Taiwan 50 Index (comprising\u00a0the top 50 companies by market capitalization).\u00a0<\/p>\n<h3 class=\"wp-block-heading\">Empirical Setting (Research Design)\u00a0<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p class=\"wp-block-paragraph\">The quantitative data\u00a0retrieved\u00a0via <strong>TEJ <\/strong>. This ensures cross-period consistency through standardized corporate actions and high-fidelity price adjustments.\u00a0<\/p>\n<ul class=\"wp-block-list\">\n<li><strong>Universe:<\/strong>\u00a0Yuanta Taiwan 50 ETF (0050.TW).\u00a0<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li><strong>Backtesting\u00a0Period:<\/strong>\u00a0<strong>January 1, 2010 \u2013 June 9, 2025.<\/strong>\u00a0\u00a0<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li><strong>Strategy Frequency:<\/strong>\u00a0Daily rebalancing.\u00a0\n<ul class=\"wp-block-list\">\n<li><em>Note: This study evaluates long-term structural profitability; while intraday arbitrage exists on a sub-minute scale, this model captures the\u00a0mean-reversion\u00a0of daily closing premiums.<\/em>\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li><strong>Initial Capital:<\/strong>\u00a0NT$ 10\u00a0Million.\u00a0<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li><strong>Cost Assumptions:<\/strong>\u00a0\n<ul class=\"wp-block-list\">\n<li><strong>Market Makers:<\/strong>\u00a0Near-zero effective transaction costs under Taiwan\u2019s market-making and tax framework.\u00a0<\/li>\n<li><strong>Non-Institutional:<\/strong>\u00a00.1425% commission (Buy\/Sell) + 0.1%\u00a0Transaction Tax (Sell).\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li><strong>Execution Friction:<\/strong>\u00a0Estimated at\u00a0<strong>1 Tick<\/strong>\u00a0slippage per trade.\u00a0<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li><strong>Leverage Constraint:<\/strong>\u00a00.9 (Total exposure capped at 90% of account equity to manage liquidity).\u00a0<\/li>\n<\/ul>\n<h2 class=\"wp-block-heading\">Formation of ETF Premiums\/Discounts and the Arbitrage Mechanism\u00a0<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3 class=\"wp-block-heading\">Arbitrage Mechanism &amp; Strategy Logic\u00a0<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<h4 class=\"wp-block-heading\">Signal Standardization\u00a0<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p class=\"wp-block-paragraph\">The strategy\u00a0utilizes\u00a0the\u00a0<strong><mark class=\"has-inline-color has-luminous-vivid-orange-color\" style=\"background-color:rgba(0, 0, 0, 0)\">Premium\/Discount Ratio<\/mark><\/strong>\u00a0defined as\u00a0follow, rather than absolute price spreads.<\/p>\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" alt=\"\" class=\"wp-image-43045\" height=\"57\" src=\"https:\/\/www.tejwin.com\/wp-content\/uploads\/image-761.png\" width=\"125\"\/><\/figure>\n<p class=\"wp-block-paragraph\">This approach normalizes the signal, ensuring consistent volatility sensitivity across the ETF\u2019s decade-long price appreciation (from ~NT$50 to &gt;NT$150).\u00a0<\/p>\n<h4 class=\"wp-block-heading\">Parameter Robustness\u00a0<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p class=\"wp-block-paragraph\">To strictly mitigate look-ahead bias, the model employs a static parameter approach:\u00a0<\/p>\n<ul class=\"wp-block-list\">\n<li><strong>In-Sample (Pre-2020):<\/strong>\u00a0Used exclusively to calculate baseline statistics (Mean &amp; Standard Deviation).\u00a0<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li><strong>Out-of-Sample (2021\u20132025):<\/strong>\u00a0Trading signals are generated using these fixed historical parameters, serving as a stress test for strategy stability.\u00a0<\/li>\n<\/ul>\n<h4 class=\"wp-block-heading\">Execution Logic\u00a0(Standard Deviation Thresholds)\u00a0<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p class=\"wp-block-paragraph\">The strategy exploits\u00a0<strong>Mean Reversion<\/strong>\u00a0when the\u00a0ratio deviates significantly from the historical\u00a0mean. Two distinct thresholds are tested to reflect different cost\u00a0structures:\u00a0<\/p>\n<ul class=\"wp-block-list\">\n<li><mark class=\"has-inline-color has-luminous-vivid-orange-color\" style=\"background-color:rgba(0, 0, 0, 0)\"><strong>Market Makers (Threshold\u00b11\u03c3<\/strong>)<\/mark>\uff1aAssumes zero transaction costs. This low threshold captures frequent, minor price dislocations consistent with a liquidity provider\u2019s role.\u00a0<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li><strong><mark class=\"has-inline-color has-luminous-vivid-orange-color\" style=\"background-color:rgba(0, 0, 0, 0)\">Non-Institutional (Threshold\u00b13\u03c3)<\/mark>\uff1a<\/strong>Requires\u00a0a widened spread to buffer against execution friction (0.1425% Commission + 0.1% Tax). A trade is only triggered when the deviation is statistically extreme enough to offset these costs.\u00a0<\/li>\n<\/ul>\n<h4 class=\"wp-block-heading\">Return Attribution Methodology\u00a0\u00a0<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p class=\"wp-block-paragraph\">To isolate the source of Alpha, the strategy decomposes returns into two components:\u00a0<\/p>\n<ul class=\"wp-block-list\">\n<li><strong><mark class=\"has-inline-color has-luminous-vivid-orange-color\" style=\"background-color:rgba(0, 0, 0, 0)\">NAV Leg<\/mark><\/strong>\uff1aReturns derived from holding the underlying basket (or shorting it).\u00a0<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li><strong><mark class=\"has-inline-color has-luminous-vivid-orange-color\" style=\"background-color:rgba(0, 0, 0, 0)\">Price Leg<\/mark><\/strong>\uff1aReturns derived from the mean reversion of the ETF market price.\u00a0\u00a0<\/li>\n<\/ul>\n<p class=\"wp-block-paragraph\">This decomposition allows us to verify whether profits originate from fundamental value adjustments (NAV) or liquidity-driven price corrections (Market Price).\u00a0<\/p>\n<p class=\"wp-block-paragraph\"><strong>Figure 1: Long-Term Price &amp; Premium\/Discount Structure of Yuanta Taiwan 50 (0050)\u00a0<\/strong><\/p>\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" alt=\"\" class=\"wp-image-43037\" height=\"663\" src=\"https:\/\/www.tejwin.com\/en\/wp-content\/uploads\/2026\/08\/image-760.png\" width=\"831\"\/><\/figure>\n<blockquote><p><em>\ud83d\udca1<strong>Further Reading: <\/strong><a href=\"https:\/\/www.tejwin.com\/en\/news\/tcri-watchdog\/\"><strong>TCRI Watchdog<\/strong> master credit risks with daily monitoring to bridge financial reporting gaps<\/a><\/em><\/p><\/blockquote>\n<h2 class=\"wp-block-heading\">Empirical Results: Market Maker Perspective\u00a0<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3 class=\"wp-block-heading\">The Structural Advantage (1-SD Threshold)\u00a0\u00a0<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p class=\"wp-block-paragraph\">Market Makers (MM),\u00a0benefiting\u00a0from transaction tax exemptions and fee waivers, can effectively exploit minor deviations (<strong>\u00b11\u03c3<\/strong>).\u00a0<\/p>\n<p class=\"wp-block-paragraph\"><strong>Figure 2: Market Maker Strategy Performance (1-SD Threshold)\u00a0<\/strong><\/p>\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" alt=\"ETF\" class=\"wp-image-38085\" height=\"795\" src=\"https:\/\/www.tejwin.com\/en\/wp-content\/uploads\/2026\/08\/pch-1024x795-1.png\" width=\"1024\"\/><\/figure>\n<ul class=\"wp-block-list\">\n<li><strong><mark class=\"has-inline-color has-luminous-vivid-orange-color\" style=\"background-color:rgba(0, 0, 0, 0)\">Frictionless Alpha<\/mark><\/strong>\uff1aAs shown in the chart above (red line), the zero-cost strategy generates consistent positive returns. This confirms that the 0050 ETF offers abundant short-term mean-reversion opportunities.\u00a0<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li><strong><mark class=\"has-inline-color has-luminous-vivid-orange-color\" style=\"background-color:rgba(0, 0, 0, 0)\">The Cost Barrier<\/mark><\/strong>\uff1aThe blue line\u00a0demonstrates\u00a0a counterfactual scenario: if standard transaction costs were applied to this high-frequency 1-SD strategy, the cumulative return would decline linearly. This proves that the\u00a0<strong>\u201cAlpha\u201d in this zone is structural<\/strong>\u2014it belongs exclusively to participants with market-making privileges.\u00a0<\/li>\n<\/ul>\n<h3 class=\"wp-block-heading\">Return Attribution: Price vs. NAV\u00a0\u00a0<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p class=\"wp-block-paragraph\">Decomposing the profit sources reveals the mechanics of the arbitrage:\u00a0<\/p>\n<p class=\"wp-block-paragraph\"><strong>Figure 3: Return Attribution Analysis (NAV vs. Market Price)\u00a0<\/strong><\/p>\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" alt=\"ETF\" class=\"wp-image-38087\" height=\"336\" src=\"https:\/\/www.tejwin.com\/en\/wp-content\/uploads\/2026\/08\/mmm-1024x336-1.png\" width=\"1024\"\/><\/figure>\n<ul class=\"wp-block-list\">\n<li><strong><mark class=\"has-inline-color has-luminous-vivid-orange-color\" style=\"background-color:rgba(0, 0, 0, 0)\">Market Price Dominance<\/mark><\/strong>\uff1aThe majority of\u00a0profits (Long MV \/ Short MV) are derived from the ETF\u2019s market price converging back to fair value.\u00a0<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li><strong><mark class=\"has-inline-color has-luminous-vivid-orange-color\" style=\"background-color:rgba(0, 0, 0, 0)\">NAV Lag<\/mark><\/strong>\uff1aThe NAV leg contributes negligibly or negatively. This aligns with market microstructure theory: ETF prices react to liquidity shocks and sentiment (creating the spread), while the basket (NAV)\u00a0remains\u00a0relatively stable. The arbitrage profit comes from correcting the\u00a0<strong>market price inefficiency<\/strong>, not\u00a0anticipating\u00a0NAV movements.\u00a0<\/li>\n<\/ul>\n<h2 class=\"wp-block-heading\">Empirical Results: Non-Institutional Perspective\u00a0<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3 class=\"wp-block-heading\">The Cost of Entry (3-SD Threshold)\u00a0\u00a0<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p class=\"wp-block-paragraph\">For\u00a0Non-Institutional\u00a0participants, the strategy tightens the entry threshold to\u00a0<strong>3 Standard Deviations<\/strong>\u00a0to buffer against the 0.1% Tax and commissions.\u00a0<\/p>\n<p class=\"wp-block-paragraph\"><strong>Figure 4: Non-Institutional Strategy Performance (3-SD Threshold)\u00a0<\/strong><\/p>\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" alt=\"\" class=\"wp-image-43049\" height=\"643\" src=\"https:\/\/www.tejwin.com\/en\/wp-content\/uploads\/2026\/08\/image-762.png\" width=\"831\"\/><\/figure>\n<ul class=\"wp-block-list\">\n<li><strong><mark class=\"has-inline-color has-luminous-vivid-orange-color\" style=\"background-color:rgba(0, 0, 0, 0)\">Opportunity Scarcity<\/mark><\/strong>\uff1aAs illustrated, the strict 3-SD requirement filters out most trading signals. There is a notable \u201csilence\u201d in activity for extended periods, with valid signals highly concentrated after\u00a0<strong>July 2024<\/strong>.\u00a0<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li><strong><mark class=\"has-inline-color has-luminous-vivid-orange-color\" style=\"background-color:rgba(0, 0, 0, 0)\">Return Erosion<\/mark><\/strong>\uff1a\n<ul class=\"wp-block-list\">\n<li><strong>Gross Return:<\/strong>\u00a0Reaches approximately\u00a0<strong>12%<\/strong>\u00a0over the active period.\u00a0<\/li>\n<li><strong>Net Return:<\/strong>\u00a0After accounting for friction, the cumulative net return drops to\u00a0roughly\u00a0<strong>7%<\/strong><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li><strong><mark class=\"has-inline-color has-luminous-vivid-orange-color\" style=\"background-color:rgba(0, 0, 0, 0)\">Capital Efficiency Analysis<\/mark><\/strong>\uff1aWhile the \u201cHit Ratio\u201d (Win Rate) per trade is high,\u00a0the capital\u00a0utilization\u00a0is extremely low. For an institutional allocator, locking up capital for a 7% total return over this specific\u00a0timeframe\u2014with long dormant periods\u2014represents\u00a0a suboptimal use of funds compared to risk-free bonds or a simple Buy-and-Hold strategy.\u00a0<\/li>\n<\/ul>\n<h2 class=\"wp-block-heading\">Performance Summary &amp; Strategic Implication\u00a0<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p class=\"wp-block-paragraph\">To\u00a0synthesize\u00a0the empirical findings, the following table contrasts the structural and operational divergences between the two participant categories:\u00a0<br\/><\/p>\n<figure class=\"wp-block-table\"><table><thead><tr><th><strong>Metric<\/strong>\u00a0<\/th><th><strong>Market Maker (1-SD)<\/strong>\u00a0<\/th><th><strong>Non-Institutional (3-SD)<\/strong>\u00a0<\/th><\/tr><\/thead><tbody><tr><td><strong>Primary Advantage<\/strong>\u00a0<\/td><td>Tax\/Fee Exemption\u00a0<\/td><td>None (Standard Costs)\u00a0<\/td><\/tr><tr><td><strong>Trading Logic<\/strong>\u00a0<\/td><td>High Frequency Liquidity Provision\u00a0<\/td><td>Opportunistic \/ Sniper\u00a0<\/td><\/tr><tr><td><strong>Trade Frequency<\/strong>\u00a0<\/td><td>High (Continuous)\u00a0<\/td><td>Very Low (Sparse)\u00a0<\/td><\/tr><tr><td><strong>Win Rate (Hit Ratio)<\/strong>\u00a0<\/td><td>High\u00a0<\/td><td>100% (Observed sample window)\u00a0<\/td><\/tr><tr><td><strong>Profit Source<\/strong>\u00a0<\/td><td>Volume x Small Spread\u00a0<\/td><td>Occasional Extreme Mispricing\u00a0<\/td><\/tr><tr><td><strong>Capital Efficiency<\/strong>\u00a0<\/td><td><strong>High<\/strong>\u00a0(Constant turnover)\u00a0<\/td><td><strong>Low<\/strong>\u00a0(Capital idle for\u00a0long periods)\u00a0<\/td><\/tr><tr><td><strong>Strategic Viability<\/strong>\u00a0<\/td><td><strong>Core Strategy<\/strong>\u00a0<\/td><td><strong>Inefficient<\/strong>\u00a0(Better alternatives exist)\u00a0<\/td><\/tr><\/tbody><\/table><\/figure>\n<p class=\"wp-block-paragraph\">The empirical data from the Taiwan market\u00a0validates\u00a0that ETF premium\/discount arbitrage is not a democratic strategy.\u00a0<\/p>\n<p class=\"wp-block-paragraph\">For Market Makers, it\u00a0represents\u00a0a consistent, high-probability income stream derived from liquidity provision and structural tax advantages.\u00a0<\/p>\n<p class=\"wp-block-paragraph\">For Non-Institutional Investors, the strategy\u00a0exhibits\u00a0a clear form of \u2018Negative Asymmetry.\u2019 Transaction costs in Taiwan\u2014particularly the bid-ask spread and securities transaction tax\u2014effectively gatekeep\u00a0the majority of\u00a0arbitrage profits.\u00a0<\/p>\n<p class=\"wp-block-paragraph\">Outside of rare, extreme dislocations or scenarios requiring sub-minute intraday execution capabilities, a standard end-of-day mean reversion approach offers insufficient risk-adjusted returns for non-institutional participants.<\/p>\n<div style=\"border: 1px black; border-style: solid none; text-align: center; border-color: #296580; padding: 24px; margin-top: 24px; margin-bottom: 24px;\">\n<h2 aria-level=\"2\" style=\"text-align: left;\"><span data-contrast=\"none\">Drive Institutional Alpha with Precision Market Intelligence<\/span><span data-ccp-props='{\"134245417\":false,\"134245418\":true,\"134245529\":true,\"335559738\":160,\"335559739\":80}'>\u00a0<\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span data-contrast=\"auto\">This research is empowered by\u00a0<\/span><b><span data-contrast=\"auto\">TEJ Market Data<\/span><\/b><span data-contrast=\"auto\">\u2014the authoritative source for Taiwan financial intelligence.<\/span><span data-ccp-props='{\"134245417\":false}'>\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Ensure your models are built on truth with our precise\u00a0<\/span><b><span data-contrast=\"auto\">Corporate Action Adjustments<\/span><\/b><span data-contrast=\"auto\">,\u00a0<\/span><b><span data-contrast=\"auto\">Equity Pricing<\/span><\/b><span data-contrast=\"auto\">, and deep\u00a0<\/span><b><span data-contrast=\"auto\">ETF Analytics<\/span><\/b><span data-contrast=\"auto\">.<\/span><span data-ccp-props='{\"134245417\":false}'>\u00a0<\/span><\/p>\n<div style=\"margin-top: 32px;\"><a href=\"https:\/\/www.tejwin.com\/en\/solution\/market-data\/\" rel=\"noopener\" style=\"border: none; border-radius: 4px; background-color: #296580; color: white; font-size: 20px; width: fit-content; text-decoration: none; padding: 12px 30px 12px 30px;\" target=\"_blank\"><span class=\"TextRun SCXW49053851 BCX8\" data-contrast=\"auto\" lang=\"EN-US\" xml:lang=\"EN-US\"><span class=\"NormalTextRun SCXW49053851 BCX8\">\ud83d\udc49<\/span><\/span><span class=\"TextRun SCXW49053851 BCX8\" data-contrast=\"auto\" lang=\"ZH-TW\" xml:lang=\"ZH-TW\"><span class=\"NormalTextRun SCXW49053851 BCX8\">\u00a0<\/span><\/span><span class=\"TextRun SCXW49053851 BCX8\" data-contrast=\"auto\" lang=\"EN-US\" xml:lang=\"EN-US\"><span class=\"NormalTextRun SCXW49053851 BCX8\">Explore TEJ Market Data Solution<\/span><\/span><\/a><\/div>\n<\/div>\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-tej-en wp-block-embed-tej-en\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"3XitxsNn38\"><a href=\"https:\/\/www.tejwin.com\/en\/news\/tej-at-neudata-ny-summit-2025\/\">Highlighting Taiwan\u2019s Data Advantage: TEJ Joins the Neudata NY Data Summit<\/a><\/blockquote><iframe loading=\"lazy\" class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"\u201cHighlighting Taiwan\u2019s Data Advantage: TEJ Joins the Neudata NY Data Summit\u201d \u2014 TEJ\" src=\"https:\/\/www.tejwin.com\/en\/news\/tej-at-neudata-ny-summit-2025\/embed\/#?secret=DBYe6lxe4X#?secret=3XitxsNn38\" data-secret=\"3XitxsNn38\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-tej wp-block-embed-tej\"><div class=\"wp-block-embed__wrapper\">\n<\/div><\/figure>","protected":false},"excerpt":{"rendered":"<p>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.<\/p>\n","protected":false},"featured_media":582,"template":"","tags":[50,52,63],"insight_category":[13],"class_list":["post-583","insight","type-insight","status-publish","has-post-thumbnail","hentry","tag-market-data","tag-quantitative-analysis","tag-etf","insight_category-quant-research"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.tejwin.com\/en\/wp-json\/wp\/v2\/insight\/583","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.tejwin.com\/en\/wp-json\/wp\/v2\/insight"}],"about":[{"href":"https:\/\/www.tejwin.com\/en\/wp-json\/wp\/v2\/types\/insight"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.tejwin.com\/en\/wp-json\/wp\/v2\/media\/582"}],"wp:attachment":[{"href":"https:\/\/www.tejwin.com\/en\/wp-json\/wp\/v2\/media?parent=583"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tejwin.com\/en\/wp-json\/wp\/v2\/tags?post=583"},{"taxonomy":"insight_category","embeddable":true,"href":"https:\/\/www.tejwin.com\/en\/wp-json\/wp\/v2\/insight_category?post=583"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}