'Quantamental' Japan Specialist, LightStream Research

Campbell Gunn

'Quantamental' Japan Specialist

ja research

ja research is an independent research platform focused exclusively on Japanese equities. Leveraging data and graphic analysis provided by Japan Analytics, we provide insights on small and medium-sized companies that have been ignored by the sell-side as well as challenging conventional wisdom on larger companies. We also offer analyst and corporate access, the latter with translation if required. 

Thematic (Sector/Industry)

RELATIVE PRICE SCORE - The Relative Price Score (RPS) measures stock price performance relative to TOPIX and is calculated by comparing the current deviation with the mean absolute deviation of monthly and daily relative share prices. As all companies are, as a result, on a comparable scale, 'overbought' and 'oversold' outliers and changes in scoring can reveal short-term and longer-term trading opportunities. This insight updates our list of overbought and oversold companies reviews the best and worst performing companies by RPS over the last month and makes some specific long and short stock recommendations.COMPANY RPS STATISTICS - The Company 'outlier' thresholds are set to "+4" for overbought and "-2" for oversold. We have excluded the first twelve months of trading for newly-listed companies to remove the distortion created by the initial over-pricing of most public offerings in Japan of which <a href="https://www.smartkarma.com/entities/27149" target="_blank" data-smartkarma-citation="entities:27149:1">Mercari (4385 JP)</a> is the latest example. Currently, 123 companies are 'overbought', and 116 are 'oversold' - 3.3% and 3.2% of the 3,672 listed companies for which monthly data is available.  The current numbers and percentages are the largest in many years. Overbought and oversold states account for 0.7% and 1.2%, respectively of the 837,586 months of data covered since October 1990. The average 'overbought persistence' is four months with <a href="https://www.smartkarma.com/entities/16576" target="_blank" data-smartkarma-citation="entities:16576:1">Lion (4912 JP)</a> holding the record for the longest period at 24 months from September 2016 to date. The average 'oversold persistence' is 7.5 months with <a href="https://www.smartkarma.com/entities/9013" target="_blank" data-smartkarma-citation="entities:9013:1">Nippon Sheet Glass (5202 JP)</a> holding the record having been in that state for the 45 months since January 2015. <figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/063/937/original/2018-09-15_16-41-44.png?1536997320" class="editor-image img-responsive" data-smartkarma-image-id="63937"></figure><div class="content-caption">Source: Japan Analytics</div>OUTLIER EXTREMES - Currently, the percentage of companies that are positive outliers (&gt;4) it is a 26-year high, while the percentage of negative outliers (&lt;-2) is at a 17-year high. In the past and unsurprisingly, increases in the ratio of positive and negative outliers have been bullish and bearish, respectively. It is highly unusual for both positive and negative outliers to be rising sharply at the same time. The only similar period in the last thirty years was during the 'tech bubble'. In February 2000 the overbought and oversold percentages peaked at 2.4% and 20.5%, respectively. <figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/064/123/original/2018-09-18_11-05-49.png?1537236390" class="editor-image img-responsive" data-smartkarma-image-id="64123"></figure><div class="content-caption">Source: Japan Analytics</div>MARKET TIMING TEMPTATION - It is always appealing to attempt to derive trading strategies from such data - a temptation we shall resist except for the observations that the oversold ratio rises into market peaks but that a decline in the overbought ratio of at least one percentage point is required to confirm a peak. At present, only the former condition is fulfilled.  COMPANY RECOMMENDATIONS - Recommendations and comments are provided below on <a href="https://www.smartkarma.com/entities/5718" target="_blank" data-smartkarma-citation="entities:5718:1">Shiseido (4911 JP)</a>, <a href="https://www.smartkarma.com/entities/4126" target="_blank" data-smartkarma-citation="entities:4126:1">Lasertec (6920 JP)</a>, <a href="https://www.smartkarma.com/entities/10020" target="_blank" data-smartkarma-citation="entities:10020:1">Sakai Moving Service (9039 JP)</a>, <a href="https://www.smartkarma.com/entities/8029" target="_blank" data-smartkarma-citation="entities:8029:1">Milbon (4919 JP)</a> and <a href="https://www.smartkarma.com/entities/8467" target="_blank" data-smartkarma-citation="entities:8467:1">Workman (7564 JP)</a> as well as new entrants and potential additions to the long and short Relative Price Score Portfolios.

RELATIVE PRICE SCORE - The Relative Price Score (RPS) measures stock price performance relative to TOPIX and is calculated by comparing the current deviation with the mean absolute deviation of monthly and daily relative share prices. As all companies are, as a result, on a comparable scale, 'overbought' and 'oversold' outliers and changes in scoring can reveal short-term and longer-term trading opportunities. This insight updates our list of overbought and oversold companies reviews the best and worst performing companies by RPS over the last month and makes some specific long and short stock recommendations.COMPANY RPS STATISTICS - The Company 'outlier' thresholds are set to "+4" for overbought and "-2" for oversold. We have excluded the first twelve months of trading for newly-listed companies to remove the distortion created by the initial over-pricing of most public offerings in Japan of which Mercari (4385 JP) is the latest example. Currently, 123 companies are 'overbought', and 116 are 'oversold' - 3.3% and 3.2% of the 3,672 listed companies for which monthly data is available.  The current numbers and percentages are the largest in many years. Overbought and oversold states account for 0.7% and 1.2%, respectively of the 837,586 months of data covered since October 1990. The average 'overbought persistence' is four months with Lion (4912 JP) holding the record for the longest period at 24 months from September 2016 to date. The average 'oversold persistence' is 7.5 months with Nippon Sheet Glass (5202 JP) holding the record having been in that state for the 45 months since January 2015. Source: Japan AnalyticsOUTLIER EXTREMES - Currently, the percentage of companies that are positive outliers (&gt;4) it is a 26-year high, while the percentage of negative outliers (&lt;-2) is at a 17-year high. In the past and unsurprisingly, increases in the ratio of positive and negative outliers have been bullish and bearish, respectively. It is highly unusual for both positive and negative outliers to be rising sharply at the same time. The only similar period in the last thirty years was during the 'tech bubble'. In February 2000 the overbought and oversold percentages peaked at 2.4% and 20.5%, respectively. Source: Japan AnalyticsMARKET TIMING TEMPTATION - It is always appealing to attempt to derive trading strategies from such data - a temptation we shall resist except for the observations that the oversold ratio rises into market peaks but that a decline in the overbought ratio of at least one percentage point is required to confirm a peak. At present, only the former condition is fulfilled.  COMPANY RECOMMENDATIONS - Recommendations and comments are provided below on Shiseido (4911 JP), Lasertec (6920 JP), Sakai Moving Service (9039 JP), Milbon (4919 JP) and Workman (7564 JP) as well as new entrants and potential additions to the long and short Relative Price Score Portfolios.

Japan: Most Overbought and Oversold - Relative Price Score Update - Companies

INTRODUCTION - The final part of our Results and Forecast/Revision Scores review will look at the leading and lagging performers and forecasters among larger and middle capitalisation companies in Japan based on their most recent quarterly results and forecasts. The data series covers over 160,000 quarterly results and 120,000 initial forecasts or forecasts revisions. The scores are calculated using the most recent eight quarters of data for revenues, operating income and operating margin and measure for each metric the rate, degree and consistency of change. Each score ranges from a maximum of +30 to a minimum of -30 for each period. Please refer to Part 1 <a href="https://www.smartkarma.com/insights/japan-scoring-results-forecasts-earnings-momentum-slowing-weaker-required" target="_blank" data-smartkarma-citation="insights:20302">Japan: Scoring Results &amp; Forecasts</a> for more details on the scoring methodology. The tables below give the top and bottom five companies in each category.RESULTS SCORE TOP 5<figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/053/547/original/2018-05-27_18-38-25.png?1527413921" class="editor-image img-responsive" data-smartkarma-image-id="53547"></figure>RESULTS SCORE BOTTOM 5<figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/053/548/original/2018-05-27_18-41-29.png?1527414102" class="editor-image img-responsive" data-smartkarma-image-id="53548"></figure><div style="text-align: left;" class="content-caption">Legend: ▲ and ▼ arrows indicate Score changes in the top and bottom ten percent, respectively. The Relative Price Score measures the difference between the current relative price and the mean absolute deviation of relative prices since listing which allows for a comparison of all companies on the same absolute scale. We consider differences in the top or bottom percentiles of historical observations to be 'Overbought' and 'Oversold' and these states mark them "•" and "+", respectively.  Valuation 'QUADrants' group companies into the top and bottom 20% of TTM PER and PBR ranges and categorise companies that are outliers in both into four quadrants: "FP" = Fully Priced, "SP" = Speculative, "MT" = Mature and "DV" = Deep Value. Rows are colour-coded based on the sector to which each company belongs. </div>FORECAST/REVISION SCORE TOP 5<figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/053/551/original/2018-05-27_18-47-10.png?1527414449" class="editor-image img-responsive" data-smartkarma-image-id="53551"></figure>FORECAST/REVISION SCORE BOTTOM 5<figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/053/552/original/2018-05-27_18-47-59.png?1527414502" class="editor-image img-responsive" data-smartkarma-image-id="53552"></figure><div style="text-align: left;" class="content-caption">Forecasts older than 180 days are excluded. The Forecast Accuracy Score is a measure of a company’s forecast accuracy-very time and is derived from the cumulative deviations of the Revenue and Operating Income forecasts from the year-end results. 100 is a perfect score; there is no minimum score. The fewer and the more accurate the forecasts, the higher the score.  A score of over 70 indicates that the current forecast is likely to be achieved. Where there is insufficient data, or if the company has not made any forecasts in the last five years, the column entry will be blank. </div>FORECAST/REVISION SCORE &amp; RESULTS SCORE DIFFERENCE TOP 5<figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/053/555/original/2018-05-27_18-53-42.png?1527414845" class="editor-image img-responsive" data-smartkarma-image-id="53555"></figure>FORECAST/REVISION SCORE &amp; RESULTS SCORE DIFFERENCE BOTTOM 5<figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/053/556/original/2018-05-27_18-54-24.png?1527414885" class="editor-image img-responsive" data-smartkarma-image-id="53556"></figure><div class="content-caption">All tables &gt; Source: Japan Analytics</div>In addition, we provide five actionable longs and five actionable shorts where we see a significant divergence between the business performance and relative prices.

INTRODUCTION - The final part of our Results and Forecast/Revision Scores review will look at the leading and lagging performers and forecasters among larger and middle capitalisation companies in Japan based on their most recent quarterly results and forecasts. The data series covers over 160,000 quarterly results and 120,000 initial forecasts or forecasts revisions. The scores are calculated using the most recent eight quarters of data for revenues, operating income and operating margin and measure for each metric the rate, degree and consistency of change. Each score ranges from a maximum of +30 to a minimum of -30 for each period. Please refer to Part 1 Japan: Scoring Results &amp; Forecasts for more details on the scoring methodology. The tables below give the top and bottom five companies in each category.RESULTS SCORE TOP 5RESULTS SCORE BOTTOM 5Legend: ▲ and ▼ arrows indicate Score changes in the top and bottom ten percent, respectively. The Relative Price Score measures the difference between the current relative price and the mean absolute deviation of relative prices since listing which allows for a comparison of all companies on the same absolute scale. We consider differences in the top or bottom percentiles of historical observations to be 'Overbought' and 'Oversold' and these states mark them "•" and "+", respectively.  Valuation 'QUADrants' group companies into the top and bottom 20% of TTM PER and PBR ranges and categorise companies that are outliers in both into four quadrants: "FP" = Fully Priced, "SP" = Speculative, "MT" = Mature and "DV" = Deep Value. Rows are colour-coded based on the sector to which each company belongs. FORECAST/REVISION SCORE TOP 5FORECAST/REVISION SCORE BOTTOM 5Forecasts older than 180 days are excluded. The Forecast Accuracy Score is a measure of a company’s forecast accuracy-very time and is derived from the cumulative deviations of the Revenue and Operating Income forecasts from the year-end results. 100 is a perfect score; there is no minimum score. The fewer and the more accurate the forecasts, the higher the score.  A score of over 70 indicates that the current forecast is likely to be achieved. Where there is insufficient data, or if the company has not made any forecasts in the last five years, the column entry will be blank. FORECAST/REVISION SCORE &amp; RESULTS SCORE DIFFERENCE TOP 5FORECAST/REVISION SCORE &amp; RESULTS SCORE DIFFERENCE BOTTOM 5All tables &gt; Source: Japan AnalyticsIn addition, we provide five actionable longs and five actionable shorts where we see a significant divergence between the business performance and relative prices.

Japan: Scoring Results & Forecasts - Part 3 - Company Winners & Losers

Japan

TOEI ANIMATION CO., LTD. plans and produces animated cartoon movies.  The Company also grants broadcasting rights and licenses for other companies to produce and sell the animated characters' merchandise.  Toei Animation stages its own promotional shows and events to advertise movies.

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Toei Animation (4816 JP)

Japan: Most Overbought and Oversold - Relative Price Score Update - Companies

RELATIVE PRICE SCORE - The Relative Price Score (RPS) measures stock price performance relative to TOPIX and is calculated by comparing the current...

Campbell Gunn

Japan: Scoring Results & Forecasts - Part 3 - Company Winners & Losers

INTRODUCTION - The final part of our Results and Forecast/Revision Scores review will look at the leading and lagging performers and forecasters...

Campbell Gunn

Price Gauge

52-week Range

Market Cap (USDm)

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