下载本文档
版权说明:本文档由用户提供并上传,收益归属内容提供方,若内容存在侵权,请进行举报或认领
文档简介
1、Dear Can,See below article for your information.Best regards,RuudRuud PetersHigh Tech Campus 5, 5656 AE Eindhoven, The Netherlands Mobile: +31 6 22803170; E-mail: Assistant: Lia van der Ham, From: Peters, RuudSent: ddag 16 augustus 2016 19:12To: Peters
2、, Ruud Subject: IP SalesWhen Do Operating Companies Sell Their Patents?By Erik Oliver & Kent Richardson & Fredrik JohanssonAugust 16, 2016What causes operating companies to sell their patents? Our intuition tells us that patent sales take place when the seller is in financial distress or the company
3、 is underperforming. We asked ourselves whether data aligned with our intuition.We looked at transaction data for sales from corporations. We studied the financial condition of 20 companies across 41 transactions over the last 6 years (post 2008 financial crisis) and looked for correlations between
4、a companys financial health and the sale of patents. We used sales from corporations to NPEs as a proxy for all corporate patent sales. In the analysis, we found that 78% of large patent sales (= 10 patents transferred) occurred when the companies were underperforming the QQQ ETF (an exchange-traded
5、 fund based on the Nasdaq-100 Index, which was used as a proxy for the market). Further, including the smaller transactions (4-9 patents transferred), the overall share of transactions that occurred when the companies were underperforming the QQQ ETF was 71%.The sales behavior matched our intuition;
6、 however, we were surprised by how well it correlatedwith the data. We believe that significant dropstock price can be used as predictors for whencompanies are likely to sell. This can help drive cross-licensing and defensive aggregator strategies for companies.Methodology and CommentaryWe reviewed
7、nearly 100 patent transfers from operating companies to NPEs. We analyzed 66 randomly chosen transactions, all of which involved a publicly traded company and included at least four patent assets, across 28 publicly traded companies from the past 15 years. As a starting point, for each transaction,
8、we looked at company stock price in the years leading up to the patent sale: how did the companys stock perform over the preceding one to five years leading up to the patent sale, as compared to the QQQ ETF in the same period? In particular, we did the following calculations:1. Compared stock price
9、two years prior to the transaction to the stock price at the date of transaction2. Compared QQQ ETF for the same dates two years apart3. Calculated the difference in performance between step 1 and step 2 (displayed as stock price vs. index in Table 1)For a few companies where public stock data was n
10、ot available, we looked at their financial performance during the relevant time frames and then included the results in the data set. Take for example the sale of seven assets on Feb 8, 2013 from Xerox Corporation to Ubicomm LLC illustrated in Table 1:Table 1: Example analysis for a 7 patent sale by
11、 Xerox Corporation on Feb 8, 2013.The closing price of the Xerox stock on the date the patent sale was recorded was $7.96. On that same day, the QQQ ETF was $68. On the date two years prior to the transaction date, Feb 8, 2011, the stock price for Xerox was $10.85, and the QQQ ETF was $58. So while
12、the Xerox stock price had dropped from $10.85 to $7.96 (-27%), the QQQ ETF had gone from $58 to $68 (+17%), thus the difference between the Xerox stock and the QQQ ETF over the same period was -44 percentage points.We compensated for a significant decline in the overall financial health of the stock
13、 markets during some of the sample period. We set a minimum difference of 5 percentage points as a threshold and repeated the analysis for the 66 transactions across the 28 companies. Where the stock underperformed the QQQ ETF by more than 5 percentage points, we concluded that the company in questi
14、on was underperforming relative to the overall market. What we wanted to achieve by setting a threshold was to avoid accounting for the cases where a company just barely underperformed. By setting the threshold to 5 percentage points, we counted the companies who had a more substantial underperforma
15、nce relative to the index. Increasing the threshold to a minimum of 10 percentage points reduced the percentage of transactions that occurred when the company was underperforming by less than 5 percentage points.When reviewing the results, we noticed that transactions occurring around the financial
16、crisis (2008-2009) were unrepresentative for this study; however, it is interesting to note that the observed trend was not as pronounced prior to the financial crisis. For that reason, we decided to limit our set of samples to only include transactions recorded after Dec 31, 2009.Furthermore, we be
17、lieve that two years is a reasonable minimum period in which poor commercial results lead from the conception of the idea to the actual sale. In our experience, it usually takes 6-12 months to have an action plan approved by management, and then the selling process usually takes another 6-12 months.
18、 We also tested for three, four, and five years, and we found there was a trend in the stock price that conformed with the other results.Furthermore, a core assumption we have made is that a companys stock price is representative of its financial health. There is a number of financial metrics or key
19、 performance indicators that could have been used in its stead, but stock price was a good initial candidate. Of course a downside of this method is that only publicly traded companies are easily included in the analysis.Our initial analysis focused primarily on US-listed tech companies because such
20、 companies have been selling patents for more than 10 years and the QQQ ETF data was readily available. We think expanding the analysis to other geographies would be particularly interesting.ResultsWe found a significant indication that companies who sold patents to NPEs were in financial distress a
21、t the point of sale. 78% of large patent sales (= 10 patents transferred) occurred when the companies were underperforming the QQQ ETF. Including the smaller transactions (4-9 patents transferred), the overall share of transactions that occurred when the companies were underperforming the QQQ ETF wa
22、s 71%. If stock underperformance were not a factor, we would have expected to find less than 50% of the companies underperforming.Alternatives and Future ResearchAs mentioned, stock price is a readily available indicator of a companys financial health: it has the benefit of being public knowledge an
23、d easily accessible. The downside is that the comparison can only be made by companies listed on a public stock exchange. Therefore, a suggestion for future research is to see if a similar analysis using a different metric for a companys financial health is possible (e.g., funding rounds).Furthermor
24、e, with the correlation between underperformance to the market and its leading to patent sales confirmed, further research in this area becomes more appealing. This opens up the opportunity to develop an automated tool with a broader scope that could be used to get results with finer granularity. Fo
25、r example, checking other financial measures might be worthwhile.We chose the QQQ ETF because of its ready availability and widespread knowledge of the underlying Nasdaq-100 index that the ETF tracks. We considered creating a custom index based on the historic stock data for similarly situated compa
26、nies; however, the added complexity, especially challenges with communicating and validating an indexs credibility, was not deemed worthwhile.Other considerations for reviewing this analysis include: whether a large sector of the tech industry underperformed the QQQ ETF and whether the sales were on
27、ly from that sector. We ended up sampling 41 transactions from 20 companies, so a broader sample could yielddifferent results. Use of a different time frameelecting the sample of stock prices may bemore effective or show different results. Additionally, a general decline in the overall market, as op
28、posed to a specific companys decline, may be important to driving sales activity. Lastly, for future studies, we suggest looking into whether or not the company, at the time of transaction, had sold patents before, and then factoring that into the likelihood of the company selling again. From experi
29、ence, we have observed that companies who have sold patents once are more likelyto sell againce they already have their internal processes set up.ConclusionOur results support the intuition that companies sell patents when in financial distress. 71% of the sales occurred when the seller underperformed the overall market by more than 5 percentage points. This sug
温馨提示
- 1. 本站所有资源如无特殊说明,都需要本地电脑安装OFFICE2007和PDF阅读器。图纸软件为CAD,CAXA,PROE,UG,SolidWorks等.压缩文件请下载最新的WinRAR软件解压。
- 2. 本站的文档不包含任何第三方提供的附件图纸等,如果需要附件,请联系上传者。文件的所有权益归上传用户所有。
- 3. 本站RAR压缩包中若带图纸,网页内容里面会有图纸预览,若没有图纸预览就没有图纸。
- 4. 未经权益所有人同意不得将文件中的内容挪作商业或盈利用途。
- 5. 人人文库网仅提供信息存储空间,仅对用户上传内容的表现方式做保护处理,对用户上传分享的文档内容本身不做任何修改或编辑,并不能对任何下载内容负责。
- 6. 下载文件中如有侵权或不适当内容,请与我们联系,我们立即纠正。
- 7. 本站不保证下载资源的准确性、安全性和完整性, 同时也不承担用户因使用这些下载资源对自己和他人造成任何形式的伤害或损失。
最新文档
- 2026年江苏省南通市海门区东洲国际学校中考数学模拟试卷(B卷)
- 程序员节思维导图课件
- 世界艾滋病日后续宣教课件
- 2025年云南省地理专升本真题及答案
- 侯马文旅策划员培训试卷
- 2025年安宁《化妆品检验员证》专业培训试卷
- 2026年北师大版九年级物理上册期末试卷含答案
- 2026高考政治实事热点题库(含答案)
- 2025年福建省专升本理科考试真题及答案
- 2026成都列五中学高一入学数学分班考试真题含答案
- 2026年甘肃省酒泉市金塔县招聘社区工作者考试参考题库及答案解析
- 武汉市2027届高中毕业生九月调研考试地理试卷(含答案)
- 华为光芯片机考题库(完整版含答案解析)
- 2026考研全国统考英语二冲刺试卷(详细解析)
- 中药饮片调剂规范考核试题及答案
- 四川省水利工程设计概(估)算编制规定2025
- XJJ013-2012 新疆维吾尔自治区城市规划管理技术规定
- 园林植物病虫害防治技术全套课件
- 第3课 寻找可靠数据源 课件+视频 2025-2026学年四年级全一册信息技术人教版
- 林下经济项目申请报告
- 23J916-1:住宅排气道(一)
评论
0/150
提交评论