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    ์ •๋ณด๋น„๋Œ€์นญ์„ฑ๊ณผ ๊ธฐ์ˆ ์  ๋ถ„์„

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ฒฝ์˜ํ•™๊ณผ, 2015. 2. ๊น€์˜์ง„.๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์ •๋ณด๋น„๋Œ€์นญ์„ฑ์œผ๋กœ ์ธํ•ด ํ•œ๊ตญ์ฃผ์‹์‹œ์žฅ์—์„œ ๊ธฐ์ˆ ์  ๋ถ„์„์ด ์œ ์šฉํ•  ์ˆ˜ ์žˆ๋Š”์ง€ ๊ฒ€ํ† ํ•œ๋‹ค. ๋ณ€๋™์„ฑ์„ ๊ธฐ์ค€์œผ๋กœ ๋ถ„๋ฅ˜ํ•œ ํฌํŠธํด๋ฆฌ์˜ค์— ๊ธฐ์ˆ ์  ๋ถ„์„์˜ ์ด๋™ํ‰๊ท  ์ „๋žต์„ ์ ์šฉํ•  ๊ฒฝ์šฐ ๋™์ผ ํฌํŠธํด๋ฆฌ์˜ค์˜ ๋งค์ž…-๋ณด์œ  ์ „๋žต์„ ์‚ฌ์šฉํ•  ๋•Œ์— ๋น„ํ•ด ์›”๋“ฑํžˆ ๋†’์€ ์ดˆ๊ณผ์ˆ˜์ต๋ฅ ์„ ์–ป์„ ์ˆ˜ ์žˆ์œผ๋ฉฐ, ์ด๋Š” ์‹œ์žฅ ๋ชจํ˜• ๋ฐ Fama-French์˜ 3 ์š”์ธ ๋ชจํ˜•์œผ๋กœ ์„ค๋ช…๋˜์ง€ ์•Š์Œ์„ ๋ณด์ธ๋‹ค. ๋˜ํ•œ, ๋ณ€๋™์„ฑ ์™ธ์— ์ •๋ณด๋น„๋Œ€์นญ์„ฑ์˜ ๋Œ€์šฉ์น˜๋กœ ์‚ฌ์šฉ๋˜๋Š” ์‹ ์šฉ๋“ฑ๊ธ‰ ๋ฐ ์• ๋„๋ฆฌ์ŠคํŠธ์˜ ์˜ˆ์ธก ์ฐจ์ด๋ฅผ ์ด์šฉํ•˜์—ฌ ํฌํŠธํด๋ฆฌ์˜ค๋ฅผ ๊ตฌ์„ฑํ•  ๋•Œ๋„ ๋™์ผํ•œ ๊ฒฐ๊ณผ๊ฐ€ ๋‚˜ํƒ€๋‚จ์„ ๋ณด์—ฌ ์ด๋Ÿฌํ•œ ์ดˆ๊ณผ์ˆ˜์ต์ด ์ •๋ณด๋น„๋Œ€์นญ์„ฑ์œผ๋กœ๋ถ€ํ„ฐ ๋ฐœ์ƒํ•จ์„ ์‹œ์‚ฌํ•œ๋‹ค. ๋”ํ•˜์—ฌ ๋ชจ๋ฉ˜ํ…€ ์ „๋žต๊ณผ์˜ ๋น„๊ต๋ฅผ ํ†ตํ•˜์—ฌ ์ด๋Ÿฌํ•œ ์ดˆ๊ณผ์ˆ˜์ต์˜ ์›์ฒœ์ด ๋ชจ๋ฉ˜ํ…€๊ณผ๋Š” ๋…๋ฆฝ์ ์ธ ์ƒˆ๋กœ์šด ํ˜„์ƒ์ž„์„ ๋ณด์ธ๋‹ค.์ œ 1 ์žฅ ์„œ๋ก  ์ œ 2 ์žฅ ์—ฐ๊ตฌ์ž๋ฃŒ ๋ฐ ๋ฐฉ๋ฒ•๋ก  ์ œ 1 ์ ˆ ์ž๋ฃŒ์˜ ์ˆ˜์ง‘ ์ œ 2 ์ ˆ ์—ฐ๊ตฌ ๋ฐฉ๋ฒ•๋ก  ์ œ 3 ์žฅ ์ด๋™ํ‰๊ท  ํฌํŠธํด๋ฆฌ์˜ค์˜ ์ˆ˜์ต์„ฑ ์ œ 1 ์ ˆ ๊ธฐ์ดˆํ†ต๊ณ„๋Ÿ‰ (Summary Statistics) ์ œ 2 ์ ˆ ์‹œ์žฅ์š”์ธ ๋ฐ Fama-French 3์š”์ธ ๊ณผ์˜ ๊ด€๊ณ„ ์ œ 3 ์ ˆ ์ •๋ณด ๋ถˆํ™•์‹ค์„ฑ์— ๋Œ€ํ•œ ๋Œ€์šฉ์น˜ ์ œ 4 ์žฅ ๊ฐ•๊ฑด์„ฑ ๋ถ„์„ ์ œ 1 ์ ˆ time-lag์˜ ๋ณ€ํ™” ์ œ 2 ์ ˆ ๊ธฐ์—… ๊ทœ๋ชจ์— ๋”ฐ๋ฅธ ํฌํŠธํด๋ฆฌ์˜ค ๊ตฌ์„ฑ ์ œ 5 ์žฅ ๋ชจ๋ฉ˜ํ…€ ์ „๋žต ๊ณผ์˜ ๊ด€๊ณ„ ์ œ 6 ์žฅ ๊ฒฐ๋ก  ์ฐธ๊ณ ๋ฌธํ—Œ AbstractMaste

    Information Uncertainty and Technical Analysis

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    ์ด ๋…ผ๋ฌธ์—์„œ๋Š” ์ •๋ณด ๋น„๋Œ€์นญ์„ฑ์„ ๋Œ€์ž…ํ•œ ๊ธฐ์ˆ ์  ๋ถ„์„์ด ํ•œ๊ตญ ์ฃผ์‹์‹œ์žฅ์—์„œ ์œ ์šฉํ•  ์ˆ˜ ์žˆ๋Š”์ง€ ๊ฒ€ํ† ํ•œ๋‹ค. ๋ณ€๋™์„ฑ์„ ๊ธฐ์ค€์œผ๋กœ ๋ถ„๋ฅ˜ํ•œ ํฌํŠธํด๋ฆฌ์˜ค์— ๊ธฐ์ˆ ์  ๋ถ„์„์˜ ์ด๋™ํ‰๊ท  ์ „๋žต์„ ์ ์šฉํ•  ๊ฒฝ์šฐ ๋™์ผ ํฌํŠธํด๋ฆฌ์˜ค์˜ ๋งค์ž…๋ณด์œ  ์ „๋žต์„ ์‚ฌ์šฉํ•  ๋•Œ์— ๋น„ํ•ด ์›”๋“ฑํžˆ ๋†’์€ ์ดˆ๊ณผ์ˆ˜์ต๋ฅ ์„ ์–ป์„ ์ˆ˜ ์žˆ์œผ๋ฉฐ, ์ด๋Š” ์‹œ์žฅ ๋ชจํ˜• ๋ฐ ํŒŒ๋งˆ-ํ”„๋ Œ์น˜(Fama-French)์˜ 3์š”์ธ ๋ชจํ˜•์œผ๋กœ ์„ค๋ช…๋˜์ง€ ์•Š์Œ์„ ๋ณด์ธ๋‹ค. ๋˜ํ•œ ๋ณ€๋™์„ฑ ์™ธ์— ์ •๋ณด ๋น„๋Œ€์นญ์„ฑ์˜ ๋Œ€์šฉ์น˜๋กœ ์‚ฌ์šฉ๋˜๋Š” ์‹ ์šฉ๋“ฑ๊ธ‰ ๋ฐ ์• ๋„๋ฆฌ์ŠคํŠธ์˜ ์˜ˆ์ธก ์ฐจ์ด๋ฅผ ์ด์šฉํ•˜์—ฌ ํฌํŠธํด๋ฆฌ์˜ค๋ฅผ ๊ตฌ์„ฑํ•  ๋•Œ๋„ ๋™์ผํ•œ ๊ฒฐ๊ณผ๊ฐ€ ๋‚˜ํƒ€๋‚จ์„ ๋ณด์—ฌ ์ด๋Ÿฌํ•œ ์ดˆ๊ณผ์ˆ˜์ต์ด ์ •๋ณด ๋น„๋Œ€์นญ์„ฑ์œผ๋กœ๋ถ€ํ„ฐ ๋ฐœ์ƒํ•จ์„ ์‹œ์‚ฌํ•œ๋‹ค. ๋”ํ•˜์—ฌ ๋ชจ๋ฉ˜ํ…€ ์ „๋žต๊ณผ์˜ ๋น„๊ต๋ฅผ ํ†ตํ•ด ์ด๋Ÿฌํ•œ ์ดˆ๊ณผ์ˆ˜์ต์˜ ์›์ฒœ์ด ๋ชจ๋ฉ˜ํ…€๊ณผ๋Š” ๋…๋ฆฝ์ ์ธ ์ƒˆ๋กœ์šด ํ˜„์ƒ์ž„์„ ๋ณด์ธ๋‹ค.In this paper, we apply moving average timing strategy of technical analysis to portfolios which are sorted by volatility of historical price of assets and it substantially outperforms the buy-and-hold strategy. The abnormal returns of moving average timing strategy is independent with either market model or Fama-French 3 factor model and it is still economically significant when the portfolio is sorted by credit rating and analysts forecast dispersion, which are other proxies for information uncertainty than volatility. Moreover, from the comparison with momentum strategy, I show that the source of abnormal returns of moving average timing strategy is different with momentum.์ด ๋…ผ๋ฌธ์€ ์„œ์šธ๋Œ€ํ•™๊ต ๊ฒฝ์˜๋Œ€ํ•™ ๊ฒฝ์˜์—ฐ๊ตฌ์†Œ ์—ฐ๊ตฌ๋น„ ์ง€์›์œผ๋กœ ์ˆ˜ํ–‰๋˜์—ˆ์Šต๋‹ˆ๋‹ค
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